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[GigaCourse.Com] Udemy - Build 30 Real World Data Science & Machine Learning Projects
4. Project-2 Costa Rican household poverty prediction/2. Data preprocessing and feature engineering.mp4
217.3 MB
11. Project-9 Apparent temperature prediction/3. Model building part1.mp4
208.1 MB
6. Project-4 Car price prediction/3. Creating and hypertunning model.mp4
198.1 MB
22. Project-20 Vaccination for justified user system using NLP/2. Importing data and libraries.mp4
192.1 MB
19. Project-17 Amazon Alexa Review system/2. Importing libraries and data.mp4
184.5 MB
10. Project-8 Predicting Hotel Booking/2. Data preprocessing, EDA.mp4
184.2 MB
4. Project-2 Costa Rican household poverty prediction/3. Creating models.mp4
159.6 MB
9. Project-7 Predicting employee attrition/3. Feature selection and model building.mp4
158.0 MB
21. Project-19 IMDB Movie Review system/3. Data Visualization.mp4
154.0 MB
12. Project-10 Consumer Complaint classification/3. Model building.mp4
150.2 MB
8. Project-6 Loan Prediction Analysis/4. Hypertuning models.mp4
149.4 MB
19. Project-17 Amazon Alexa Review system/3. EDA.mp4
145.2 MB
22. Project-20 Vaccination for justified user system using NLP/3. data preprocessing.mp4
143.9 MB
28. Project-26 E-signing of loan based on financial history/5. feature engineering.mp4
143.1 MB
3. Project-1 Image Caption Bot/6.1 Image caption Code and Model Files.zip
141.7 MB
29. Project-27 Mutual fund project/5. Understanding various parameters.mp4
140.0 MB
22. Project-20 Vaccination for justified user system using NLP/4. data visualization.mp4
138.8 MB
28. Project-26 E-signing of loan based on financial history/2. loading data and EDA.mp4
137.2 MB
26. Project-24 Mortality prediction in ICU using ANN/5. model building.mp4
135.1 MB
23. Project-21 Blood donation analysis/4. model building.mp4
133.9 MB
[磁力链接]
添加时间:
2022-03-30
大小:
11.7 GB
最近下载:
2025-11-05
热度:
2787
[Tutorialsplanet.NET] Udemy - Python for Data Science & Machine Learning from A-Z
19. PCA/7. PCA - Image Compression.mp4
262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4
212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4
191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4
169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4
142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4
142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4
137.6 MB
1. Introduction/5. What is a Data Scientist.mp4
133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4
132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4
129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4
127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4
126.3 MB
15. Decision Trees/13. Pruning.mp4
118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4
117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4
115.7 MB
18. K-means/3. Representing Clusters.mp4
114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4
109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4
106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4
105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4
103.5 MB
[磁力链接]
添加时间:
2022-04-10
大小:
7.9 GB
最近下载:
2025-10-05
热度:
295
[ DevCourseWeb.com ] Udemy - Kaggle - Get The Best Data Science, Machine Learning Profile
~Get Your Files Here !/2. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4
188.2 MB
~Get Your Files Here !/2. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4
183.4 MB
~Get Your Files Here !/4. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4
155.7 MB
~Get Your Files Here !/3. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4
128.5 MB
~Get Your Files Here !/1. First Contact with Kaggle/1. What is Kaggle.mp4
128.3 MB
~Get Your Files Here !/1. First Contact with Kaggle/4. Getting to Know the Kaggle Homepage.mp4
117.9 MB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4
104.1 MB
~Get Your Files Here !/4. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4
102.7 MB
~Get Your Files Here !/7. Details on Kaggle/1. User Page Review on Kaggle.mp4
78.4 MB
~Get Your Files Here !/4. Code Section on Kaggle/1. Examining the Code Section in Kaggle Lesson 1.mp4
77.0 MB
~Get Your Files Here !/7. Details on Kaggle/2. Treasure in The Kaggle.mp4
73.1 MB
~Get Your Files Here !/7. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.mp4
58.2 MB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/1. Courses in Kaggle.mp4
50.3 MB
~Get Your Files Here !/1. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.mp4
42.5 MB
~Get Your Files Here !/6. Other Most Used Options on Kaggle/3. Blog and Documentation Sections.mp4
40.7 MB
~Get Your Files Here !/5. Discussion Section on Kaggle/1. What is Discussion on Kaggle.mp4
39.6 MB
~Get Your Files Here !/7. Details on Kaggle/3. Publishing Notebooks on Kaggle.mp4
37.1 MB
~Get Your Files Here !/1. First Contact with Kaggle/1. What is Kaggle.mp4.jpg
171.2 kB
~Get Your Files Here !/2. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.srt
31.6 kB
~Get Your Files Here !/2. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.srt
30.7 kB
[磁力链接]
添加时间:
2022-05-08
大小:
1.6 GB
最近下载:
2025-11-04
热度:
716
[FreeCourseSite.com] Udemy - Complete Data Science & Machine Learning A-Z with Python
42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4
201.0 MB
42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4
197.3 MB
44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4
167.7 MB
43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4
139.7 MB
41. First Contact with Kaggle/1. What is Kaggle.mp4
136.0 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4
133.0 MB
41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4
128.9 MB
1. Installations/1. Installing Anaconda Distribution for Windows.mp4
124.1 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4
122.8 MB
1. Installations/5. Installing Anaconda Distribution for Linux.mp4
120.3 MB
21. Matplotlib/8. Basic Plots in Matplotlib I.mp4
116.6 MB
46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4
112.2 MB
27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4
112.1 MB
44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4
111.0 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4
110.0 MB
25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4
105.1 MB
22. Seaborn/5. Basic Plots in Seaborn.mp4
103.6 MB
25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4
96.7 MB
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4
95.8 MB
14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4
95.1 MB
[磁力链接]
添加时间:
2023-12-17
大小:
11.3 GB
最近下载:
2025-11-06
热度:
5716
GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
240.6 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4
220.7 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
210.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4
202.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4
199.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4
195.9 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4
183.9 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
183.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4
182.3 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4
182.3 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4
181.1 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4
167.0 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4
165.9 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
159.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4
159.4 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4
156.7 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4
155.0 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4
152.8 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
152.3 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4
144.8 MB
[磁力链接]
添加时间:
2023-12-20
大小:
13.5 GB
最近下载:
2025-11-01
热度:
1805
[ DevCourseWeb.com ] Udemy - Mastering Data Science, Machine Learning, and AI
~Get Your Files Here !/10. Ethics and Bias in AI/1. The impact of AI on society and ethics.mp4
29.7 MB
~Get Your Files Here !/11. Conclusion/2. Opportunities and challenges in data science, machine learning, and AI.mp4
29.6 MB
~Get Your Files Here !/1. Introduction to Data Science/2. The process of data science and its different stages.mp4
28.6 MB
~Get Your Files Here !/1. Introduction to Data Science/3. Different fields that use data science and examples of real-world applications.mp4
27.7 MB
~Get Your Files Here !/9. Artificial Intelligence/2. Types of artificial intelligence and their applications.mp4
27.0 MB
~Get Your Files Here !/1. Introduction to Data Science/4. Overview of the tools and techniques used in data science.mp4
26.3 MB
~Get Your Files Here !/4. Statistical Modeling/1. Overview of statistics and probability.mp4
26.3 MB
~Get Your Files Here !/5. Machine Learning/2. Different types of machine learning algorithms.mp4
25.6 MB
~Get Your Files Here !/2. Data Collection and Preprocessing/1. Sources of data and methods of collecting data.mp4
24.6 MB
~Get Your Files Here !/11. Conclusion/3. Suggestions for further learning and resources.mp4
24.3 MB
~Get Your Files Here !/3. Exploratory Data Analysis/1. Univariate and multivariate analysis.mp4
23.9 MB
~Get Your Files Here !/3. Exploratory Data Analysis/3. Identifying relationships and patterns in data.mp4
23.2 MB
~Get Your Files Here !/2. Data Collection and Preprocessing/2. Understanding and cleaning data.mp4
22.9 MB
~Get Your Files Here !/2. Data Collection and Preprocessing/4. Feature engineering and selection.mp4
21.7 MB
~Get Your Files Here !/7. Unsupervised Learning/2. Dimensionality reduction.mp4
20.5 MB
~Get Your Files Here !/8. Reinforcement Learning/3. Policy gradient methods.mp4
20.2 MB
~Get Your Files Here !/9. Artificial Intelligence/1. Definition and history of artificial intelligence.mp4
19.6 MB
~Get Your Files Here !/4. Statistical Modeling/4. Model evaluation and selection.mp4
19.4 MB
~Get Your Files Here !/3. Exploratory Data Analysis/2. Data visualization techniques.mp4
19.2 MB
~Get Your Files Here !/7. Unsupervised Learning/3. Anomaly detection.mp4
19.0 MB
[磁力链接]
添加时间:
2024-01-26
大小:
768.0 MB
最近下载:
2025-11-02
热度:
780
[FreeCourseSite.com] Udemy - Complete Python for Data Science & Machine Learning from A-Z
53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4
201.1 MB
53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4
197.3 MB
55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4
167.7 MB
54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4
139.6 MB
1. Installations/1. Installing Anaconda Distribution for Windows.mp4
136.7 MB
52. First Contact with Kaggle/1. What is Kaggle.mp4
136.0 MB
1. Installations/3. Installing Anaconda Distribution for Linux.mp4
133.4 MB
59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4
133.0 MB
52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4
128.9 MB
59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4
122.9 MB
32. Matplotlib/8. Basic Plots in Matplotlib I.mp4
116.6 MB
57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4
112.3 MB
38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4
112.1 MB
55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4
111.0 MB
59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4
110.1 MB
36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4
105.2 MB
33. Seaborn/5. Basic Plots in Seaborn.mp4
103.6 MB
36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4
96.7 MB
61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4
95.8 MB
29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4
95.1 MB
[磁力链接]
添加时间:
2024-02-16
大小:
13.1 GB
最近下载:
2025-11-05
热度:
3449
[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
240.6 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4
220.7 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
210.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4
202.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4
199.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4
195.9 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4
183.9 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
183.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4
182.3 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4
182.3 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4
181.1 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4
167.0 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4
165.9 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
159.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4
159.4 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4
156.7 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4
155.0 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4
152.8 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
152.3 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4
144.8 MB
[磁力链接]
添加时间:
2024-04-09
大小:
13.5 GB
最近下载:
2025-10-29
热度:
4212
[ FreeCourseWeb.com ] Udemy - Calculus for Data Science & Machine Learning - 2020.zip
[ FreeCourseWeb.com ] Udemy - Calculus for Data Science & Machine Learning - 2020.zip
283.2 MB
[磁力链接]
添加时间:
2024-09-02
大小:
283.2 MB
最近下载:
2025-08-27
热度:
84
[FreeCourseSite.com] Udemy - Complete Data Science,Machine Learning,DL,NLP Bootcamp
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/011 Simple Linear Regression Practical.mp4
909.9 MB
46 - Dockers For Beginners/009 9-Dockers-Compose.mp4
828.8 MB
62 - Transformers/004 Self Attention Layer Working.mp4
774.0 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/001 End To End ML Project With Deployment-Github And Code Set Up.mp4
704.0 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/003 Discussing Project Problem Statement,EDA And Model Training.mp4
676.4 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/002 Implementing Project Structure, Logging And Exception Handling.mp4
659.4 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/001 Getting Started With MLOPS With MLFlow And Dagshub With Project.mp4
652.7 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/007 End To End ML Project Implementation.mp4
651.8 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/012 Multiple Linear regression.mp4
615.5 MB
62 - Transformers/012 Decoder Transformer- Masked Multi Head Attention Working.mp4
608.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/010 Implementing Data Ingestions Component.mp4
587.2 MB
38 - Xgboost Machine Learning Algorithms/001 Xgboost Classification Indepth Intuit.mp4
580.5 MB
13 - Data Analysis With Python/002 Pandas- DataFrame And Series.mp4
580.1 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/014 Data Transformation Implementation.mp4
557.1 MB
32 - Naive Bayes Theorem/001 Understanding Baye's Theorem.mp4
547.2 MB
13 - Data Analysis With Python/001 Numpy In Python.mp4
546.0 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/002 Multiple Linear Regression Projects With Assumptions.mp4
545.2 MB
25 - Exploratory Data Analysis and Feature Engineering/003 Data Cleaning With Google Playstore Dataset.mp4
513.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/012 Implementing Data Validation-Part 2.mp4
493.7 MB
23 - Inferential Statistics/015 Partioning Of Variance In Annova.mp4
491.8 MB
[磁力链接]
添加时间:
2025-01-30
大小:
75.8 GB
最近下载:
2025-11-06
热度:
4194
Udemy - Math 0-1 Calculus for Data Science & Machine Learning (2.2025)
9 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
154.2 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/8 -Optimization and Lagrange Multipliers (pt 1).mp4
131.9 MB
7 - Integration (Calculus 2)/3 -Fundamental Theorem of Calculus (pt 1).mp4
120.1 MB
2 - Review/1 -Functions Review.mp4
119.8 MB
10 - Effective Learning Strategies (AppendixFAQ by Student Request)/5 -What order should I take your courses in (part 2).mp4
111.0 MB
5 - Derivative Rules/7 -Product and Quotient Rules.mp4
105.9 MB
5 - Derivative Rules/5 -Chain Rule.mp4
99.6 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/2 -Partial Differentiation.mp4
97.8 MB
4 - Derivatives From First Principles/1 -Slopes, Tangent Lines, and Derivatives.mp4
96.4 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/3 -The Gradient.mp4
95.3 MB
10 - Effective Learning Strategies (AppendixFAQ by Student Request)/2 -Can YouTube Teach Me Calculus (Optional).mp4
91.1 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/9 -Optimization and Lagrange Multipliers (pt 2).mp4
84.9 MB
10 - Effective Learning Strategies (AppendixFAQ by Student Request)/4 -What order should I take your courses in (part 1).mp4
81.7 MB
10 - Effective Learning Strategies (AppendixFAQ by Student Request)/1 -Math Order for Machine Learning & Data Science.mp4
79.3 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/4 -The Jacobian and Hessian.mp4
76.4 MB
4 - Derivatives From First Principles/2 -More On Tangent Lines, Derivative Checking.mp4
74.3 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/7 -Steepest Ascent in Python.mp4
74.2 MB
8 - Vector Calculus in Multiple Dimensions (Calculus 3)/10 -Vector Calculus Section Summary.mp4
71.8 MB
9 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).mp4
71.7 MB
2 - Review/2 -Functions Review in Python.mp4
70.8 MB
[磁力链接]
添加时间:
2025-06-19
大小:
4.4 GB
最近下载:
2025-11-06
热度:
794
Udemy - Math 0-1 Matrix Calculus in Data Science & Machine Learning (12.2024)
2 - Matrix and Vector Derivatives/3 -Quadratic Form (pt 1).mp4
191.6 MB
3 - Optimization Techniques/3 -Gradient Descent (One Dimension).mp4
182.5 MB
2 - Matrix and Vector Derivatives/7 -Exercise Gaussian.mp4
178.6 MB
4 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
154.3 MB
2 - Matrix and Vector Derivatives/10 -Chain Rule Generalized.mp4
147.5 MB
2 - Matrix and Vector Derivatives/12 -Left and Right Inverse as Optimization Problems.mp4
143.9 MB
3 - Optimization Techniques/8 -Exercise Code Preparation.mp4
127.0 MB
3 - Optimization Techniques/6 -Newton's Method (Multiple Dimensions).mp4
122.9 MB
5 - Effective Learning Strategies (AppendixFAQ by Student Request)/5 -What order should I take your courses in (part 2).mp4
110.9 MB
5 - Effective Learning Strategies (AppendixFAQ by Student Request)/3 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
108.5 MB
2 - Matrix and Vector Derivatives/9 -Chain Rule in Matrix Form.mp4
104.2 MB
5 - Effective Learning Strategies (AppendixFAQ by Student Request)/2 -Can YouTube Teach Me Calculus (Optional).mp4
91.0 MB
3 - Optimization Techniques/9 -Gradient Descent and Newton's Method in Python.mp4
83.7 MB
2 - Matrix and Vector Derivatives/8 -Chain Rule.mp4
83.6 MB
5 - Effective Learning Strategies (AppendixFAQ by Student Request)/4 -What order should I take your courses in (part 1).mp4
81.7 MB
5 - Effective Learning Strategies (AppendixFAQ by Student Request)/1 -Math Order for Machine Learning & Data Science.mp4
79.2 MB
3 - Optimization Techniques/5 -Newton's Method (One Dimension).mp4
76.6 MB
3 - Optimization Techniques/2 -Second Derivative Test in Multiple Dimensions.mp4
73.5 MB
3 - Optimization Techniques/7 -Exercise Newton's Method for Least Squares.mp4
73.0 MB
4 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).mp4
71.6 MB
[磁力链接]
添加时间:
2025-07-01
大小:
3.0 GB
最近下载:
2025-11-05
热度:
1659
Udemy - Math 0-1 Probability for Data Science & Machine Learning (2.2025)
5 - More About Probability Distributions and Random Variables/23 -Exercise Sums of Jointly Normal Random Variables (Optional).mp4
450.8 MB
5 - More About Probability Distributions and Random Variables/21 -Multidimensional Change of Variables (Continuous).mp4
219.9 MB
10 - Advanced and Other Topics/4 -Why Does the Normal Distribution Integrate to 1.mp4
187.4 MB
11 - Setting Up Your Environment (AppendixFAQ by Student Request)/2 -Anaconda Environment Setup.mp4
183.9 MB
6 - Expectation and Expected Values/11 -Covariance and Correlation.mp4
170.1 MB
5 - More About Probability Distributions and Random Variables/11 -Conditional Distributions and Bayes' Rule.mp4
161.1 MB
11 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to Install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow.mp4
154.4 MB
2 - Probability Basics/12 -Bayes' Rule Example.mp4
152.6 MB
5 - More About Probability Distributions and Random Variables/7 -Change of Variables (Functions of Random Variables) pt 2.mp4
151.2 MB
6 - Expectation and Expected Values/12 -Exercise Covariance and Correlation of Bivariate Normal.mp4
151.2 MB
3 - Random Variables and Probability Distributions/3 -The Bernoulli Distribution.mp4
149.3 MB
6 - Expectation and Expected Values/2 -Expected Value and Mean.mp4
141.5 MB
4 - Continuous Random Variables and Probability Density Functions/2 -Continuous Random Variables and Continuous Distributions.mp4
137.3 MB
5 - More About Probability Distributions and Random Variables/13 -Independence.mp4
136.2 MB
5 - More About Probability Distributions and Random Variables/25 -CDFs and Multiple Random Variables Section Summary.mp4
133.8 MB
3 - Random Variables and Probability Distributions/5 -The Binomial Distribution.mp4
132.9 MB
9 - Limit Theorems/8 -Central Limit Theorem.mp4
132.8 MB
9 - Limit Theorems/9 -LLN and CLT in Python.mp4
132.0 MB
2 - Probability Basics/15 -Probability Tree Diagrams.mp4
130.0 MB
7 - Generating Functions/11 -Moment Generating Functions for Random Vectors.mp4
125.0 MB
[磁力链接]
添加时间:
2025-07-02
大小:
10.7 GB
最近下载:
2025-11-06
热度:
481
Udemy - Math 0-1 Linear Algebra for Data Science & Machine Learning (8.2023)
5. Matrix Rank/1. Linear Independence and Dependence.mp4
376.3 MB
3. Vectors and Matrices/9. What is a Matrix.mp4
292.2 MB
6. Eigenvalues and Eigenvectors/13. Constructing the SVD (Proof of SVD).mp4
291.7 MB
4. Matrix Operations and Special Matrices/21. Positive Definite and Negative Definite Matrices.mp4
269.1 MB
5. Matrix Rank/4. Matrix Decompositions (SVD, QR, LU, Cholesky).mp4
269.1 MB
4. Matrix Operations and Special Matrices/16. Determinants (pt 2).mp4
267.2 MB
6. Eigenvalues and Eigenvectors/12. Diagonalization.mp4
261.9 MB
5. Matrix Rank/5. Rank After Multplication.mp4
257.2 MB
6. Eigenvalues and Eigenvectors/1. How to Find Eigenvalues and Eigenvectors (pt 1).mp4
255.4 MB
4. Matrix Operations and Special Matrices/7. Properties of the Matrix Transpose.mp4
253.9 MB
4. Matrix Operations and Special Matrices/3. Matrix Inverse.mp4
249.2 MB
2. Linear Systems Review/4. Gaussian Elimination.mp4
240.1 MB
3. Vectors and Matrices/6. Application Neural Embeddings, Cosine Similarity (Optional).mp4
238.1 MB
5. Matrix Rank/3. The Rank of a Matrix.mp4
234.3 MB
6. Eigenvalues and Eigenvectors/3. Exercise Rotation Matrix.mp4
232.6 MB
4. Matrix Operations and Special Matrices/23. Exercise Complete the Square.mp4
226.5 MB
3. Vectors and Matrices/1. What is a Vector.mp4
210.7 MB
4. Matrix Operations and Special Matrices/6. Matrix Transpose.mp4
197.9 MB
4. Matrix Operations and Special Matrices/15. Determinants (pt 1).mp4
197.9 MB
3. Vectors and Matrices/11. Matrix Multiplication.mp4
196.8 MB
[磁力链接]
添加时间:
2025-07-04
大小:
11.2 GB
最近下载:
2025-11-05
热度:
676
[FreeTutorials.Us] Udemy - data-science-and-machine-learning-with-python-hands-on
01 Getting Started/001 Introduction.mp4
29.1 MB
01 Getting Started/001 Introduction-subtitle-en.srt
5.0 kB
01 Getting Started/002 [Activity] Getting What You Need.mp4
10.0 MB
01 Getting Started/002 [Activity] Getting What You Need-subtitle-en.srt
4.9 kB
01 Getting Started/003 [Activity] Installing Enthought Canopy.mp4
42.5 MB
01 Getting Started/003 [Activity] Installing Enthought Canopy-subtitle-en.srt
9.7 kB
01 Getting Started/004 Python Basics_ Part 1.mp4
46.1 MB
01 Getting Started/004 Python Basics_ Part 1-subtitle-en.srt
34.5 kB
01 Getting Started/005 [Activity] Python Basics_ Part 2.mp4
29.8 MB
01 Getting Started/005 [Activity] Python Basics_ Part 2-subtitle-en.srt
20.3 kB
01 Getting Started/006 Running Python Scripts.mp4
22.6 MB
01 Getting Started/006 Running Python Scripts-subtitle-en.srt
8.8 kB
01 Getting Started/007 Introducing the Pandas Library.mp4
45.4 MB
01 Getting Started/007 Introducing the Pandas Library-subtitle-en.srt
18.4 kB
01 Getting Started/external_links.txt
146 Bytes
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp4
35.8 MB
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data-subtitle-en.srt
15.8 kB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode.mp4
29.5 MB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode-subtitle-en.srt
12.6 kB
02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python.mp4
40.9 MB
[磁力链接]
添加时间:
2018-01-30
大小:
3.3 GB
最近下载:
2025-11-06
热度:
1938
Udemy - Data Science and Machine Learning with Python
Udemy - Data Science and Machine Learning with Python/spark-2.2.0-bin-hadoop2.7.tar
203.7 MB
Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/006 Activity Decision Trees in Spark.mp4
92.5 MB
Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/002 Activity Installing Spark - Part 2.mp4
85.6 MB
Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/006 Reinforcement Learning.mp4
66.6 MB
Udemy - Data Science and Machine Learning with Python/05 Recommender Systems(49)/005 Activity Making Movie Recommendations to People.mp4
66.3 MB
Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/007 Activity K-Means Clustering in Spark.mp4
65.9 MB
Udemy - Data Science and Machine Learning with Python/07 Dealing with Real-World Data(45)/004 Activity Cleaning web log data.mp4
63.1 MB
Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/009 Activity Searching Wikipedia with Spark.mp4
62.7 MB
Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/002 Activity Using KNN to predict a rating for a movie.mp4
62.1 MB
Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/005 Data Warehousing Overview ETL and ELT.mp4
56.7 MB
Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/004 Activity PCA Example with the Iris data set.mp4
55.9 MB
Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/010 Exercise Conditional Probability.mp4
55.4 MB
Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/009 Activity Covariance and Correlation.mp4
52.2 MB
Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/008 Activity A Crash Course in matplotlib.mp4
51.7 MB
Udemy - Data Science and Machine Learning with Python/05 Recommender Systems(49)/003 Activity Finding Movie Similarities.mp4
50.8 MB
Udemy - Data Science and Machine Learning with Python/04 Machine Learning with Python(77)/001 Supervised vs. Unsupervised Learning, and TrainTest.mp4
50.1 MB
Udemy - Data Science and Machine Learning with Python/07 Dealing with Real-World Data(45)/002 Activity K-Fold Cross-Validation to avoid overfitting.mp4
48.1 MB
Udemy - Data Science and Machine Learning with Python/05 Recommender Systems(49)/006 Exercise Improve the recommenders results.mp4
48.1 MB
Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/004 Activity Variation and Standard Deviation.mp4
47.8 MB
Udemy - Data Science and Machine Learning with Python/10 You made it(5)/001 More to Explore.mp4
47.3 MB
[磁力链接]
添加时间:
2018-03-14
大小:
3.0 GB
最近下载:
2025-05-24
热度:
168
[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R
1. Course Introduction/4. Course FAQ.html
1.5 kB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip
47.8 MB
1. Course Introduction/Lesson_1._Introduction_to_Course.mp4
13.0 MB
1. Course Introduction/Lesson_2._Course_Curriculum.mp4
6.0 MB
1. Course Introduction/Lesson_3._What_is_Data_Science_.mp4
7.4 MB
10. R Lists/Lesson_35._List_Basics.mp4
20.5 MB
11. Data Input and Output with R/Lesson_36._Introduction_to_Data_Input_and_Output_with_R.mp4
890.6 kB
11. Data Input and Output with R/Lesson_37._CSV_Files_with_R.mp4
12.8 MB
11. Data Input and Output with R/Lesson_38._Excel_Files_with_R.mp4
25.3 MB
11. Data Input and Output with R/Lesson_39._SQL_with_R.mp4
26.7 MB
11. Data Input and Output with R/Lesson_40._Web_Scraping_with_R.mp4
18.3 MB
12. R Programming Basics/Lesson_41._Introduction_to_Programming_Basics.mp4
1.8 MB
12. R Programming Basics/Lesson_42._Logical_Operators.mp4
15.2 MB
12. R Programming Basics/Lesson_43._if,_else,_and_else_if_Statements.mp4
27.2 MB
12. R Programming Basics/Lesson_44._Conditional_Statements_Training_Exercise.mp4
3.6 MB
12. R Programming Basics/Lesson_45._Conditional_Statements_Training_Exercise_-_Solutions_Walkthrough.mp4
22.1 MB
12. R Programming Basics/Lesson_46._While_Loops.mp4
12.6 MB
12. R Programming Basics/Lesson_47._For_Loops.mp4
24.2 MB
12. R Programming Basics/Lesson_48._Functions.mp4
36.8 MB
12. R Programming Basics/Lesson_49._Functions_Training_Exercise.mp4
7.0 MB
[磁力链接]
添加时间:
2018-08-03
大小:
2.6 GB
最近下载:
2025-05-23
热度:
127
[DesireCourse.Com] Udemy - Introduction to Machine Learning for Data Science
[DesireCourse.Com] Udemy - Introduction to Machine Learning for Data Science.zip
2.6 GB
[DesireCourse.Com].txt
828 Bytes
[DesireCourse.Com].url
51 Bytes
[磁力链接]
添加时间:
2018-12-06
大小:
2.6 GB
最近下载:
2025-11-03
热度:
2833
[DesireCourse.Net] Udemy - Beginning with Machine Learning & Data Science in Python
2. Understanding Data Wrangling/7. Cleaning Messy Data.mp4
33.6 MB
2. Understanding Data Wrangling/3. Selecting data and finding the most common complaint type.mp4
26.3 MB
6. Regularization/6. Regularization using scikit-learn.mp4
24.0 MB
3. Linear Regression/5. Simple Linear Regression.mp4
23.0 MB
2. Understanding Data Wrangling/6. Which month was the snowiest.mp4
21.4 MB
3. Linear Regression/11. Handling categorical features.mp4
20.8 MB
2. Understanding Data Wrangling/4. Which borough has the most noise complaints.mp4
20.4 MB
1. Working with Machine Learning/5. Python and Jupyter Demo.mp4
18.5 MB
2. Understanding Data Wrangling/5. Which weekday do people bike the most.mp4
17.8 MB
6. Regularization/4. Regularizing linear models.mp4
17.7 MB
2. Understanding Data Wrangling/8. How to deal with timestamps.mp4
17.2 MB
4. Logistic Regression/8. Interpreting logistic regression.mp4
17.1 MB
2. Understanding Data Wrangling/2. Reading from a CSV.mp4
16.8 MB
5. Cross Validation/4. Cross-validation continued.mp4
16.7 MB
4. Logistic Regression/4. Predicting a categorical response.mp4
16.5 MB
3. Linear Regression/8. Multiple linear regression.mp4
16.1 MB
4. Logistic Regression/6. Probability, odds, log-odds.mp4
15.8 MB
2. Understanding Data Wrangling/9. Loading data from SQL databases.mp4
14.1 MB
6. Regularization/8. Pipeline and GridSearchCV.mp4
13.2 MB
6. Regularization/3. Overfitting with linear models.mp4
13.1 MB
[磁力链接]
添加时间:
2021-03-06
大小:
569.1 MB
最近下载:
2024-09-21
热度:
785
[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4
57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4
50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4
50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4
49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4
49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4
49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4
48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4
48.2 MB
15. Data Visualization with R/2. Histograms.mp4
47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip
47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip
47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4
42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4
42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4
41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4
39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4
38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4
37.4 MB
12. R Programming Basics/8. Functions.mp4
36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4
36.7 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4
35.8 MB
[磁力链接]
添加时间:
2021-03-09
大小:
2.6 GB
最近下载:
2025-09-29
热度:
743
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