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Linkedin Learning Python For Non-Programmers

  • 7. Project 3- Number Guesser/2. Higher lower and polish.mp4 20.2 MB
  • 3. Project 1- Fortune Cookie/2. Choosing what fortune to show.mp4 16.0 MB
  • 5. Project 2- Lyrics Analyzer/2. Counting the words.mp4 15.2 MB
  • 3. Project 1- Fortune Cookie/1. Picking random numbers.mp4 14.9 MB
  • 2. Python Basics/5. Booleans and if statements.mp4 14.2 MB
  • 4. Lists Loops and Dictionaries/3. For loops.mp4 14.2 MB
  • 7. Project 3- Number Guesser/1. Game loop.mp4 13.5 MB
  • 2. Python Basics/6. Comparison and else.mp4 13.3 MB
  • 6. Functions and More/5. Input.mp4 12.6 MB
  • 2. Python Basics/4. Using variables in strings.mp4 12.1 MB
  • 4. Lists Loops and Dictionaries/4. Dictionaries.mp4 11.8 MB
  • 2. Python Basics/1. Variables.mp4 11.5 MB
  • 5. Project 2- Lyrics Analyzer/1. Splitting a string.mp4 11.4 MB
  • 4. Lists Loops and Dictionaries/2. Lists- Add insert delete.mp4 11.4 MB
  • 2. Python Basics/3. Strings.mp4 10.4 MB
  • 6. Functions and More/3. Return.mp4 10.2 MB
  • 2. Python Basics/2. Numbers- Ints and floats.mp4 9.3 MB
  • 6. Functions and More/2. Parameters.mp4 9.3 MB
  • 4. Lists Loops and Dictionaries/1. Lists.mp4 9.3 MB
  • 6. Functions and More/4. Comments.mp4 8.9 MB
[磁力链接] 添加时间:2024-08-16 大小:298.5 MB 最近下载:2025-10-24 热度:138

[ DevCourseWeb.com ] Udemy - The Introduction of AI and Machine Learning with Python

  • ~Get Your Files Here !/03 - Understanding AI/005 Project Functions.mp4 104.4 MB
  • ~Get Your Files Here !/02 - Introduction to AI/003 Fields of AI.mp4 98.6 MB
  • ~Get Your Files Here !/06 - Supervised Learning - Regression/005 Project - Weight Prediction.mp4 89.6 MB
  • ~Get Your Files Here !/15 - Deep Learning - Computer Vision/005 Project - Image Classification.mp4 81.1 MB
  • ~Get Your Files Here !/11 - Unsupervised Learning - Association Rule Mining/003 How Apriori algorithm works.mp4 78.5 MB
  • ~Get Your Files Here !/02 - Introduction to AI/005 Project - ChatBot.mp4 75.5 MB
  • ~Get Your Files Here !/07 - Supervised Learning - Binary Classification/005 Project - Diabetes prediction.mp4 74.8 MB
  • ~Get Your Files Here !/08 - Supervised Learning - Multi-class Classification/006 Iris flower - prediction.mp4 71.6 MB
  • ~Get Your Files Here !/15 - Deep Learning - Computer Vision/002 Introduction to Deep Learning.mp4 71.0 MB
  • ~Get Your Files Here !/02 - Introduction to AI/001 Introducing AI.mp4 70.2 MB
  • ~Get Your Files Here !/09 - Unsupervised Learning - Clustering/005 KMeans- Clustering.mp4 66.2 MB
  • ~Get Your Files Here !/07 - Supervised Learning - Binary Classification/002 Decision Tree.mp4 63.6 MB
  • ~Get Your Files Here !/04 - Introduction to Data/005 Project - Handling DataFrame.mp4 59.2 MB
  • ~Get Your Files Here !/03 - Understanding AI/002 How AI works.mp4 57.6 MB
  • ~Get Your Files Here !/14 - Natural Language Processing - Sentiment Analysis/005 Project - Sentiment Analysis.mp4 56.9 MB
  • ~Get Your Files Here !/05 - Machine Learning/008 Project - Salary Prediction.mp4 54.2 MB
  • ~Get Your Files Here !/13 - Recommendation System - Collaborative Filtering/002 Collaborative Filtering.mp4 51.9 MB
  • ~Get Your Files Here !/05 - Machine Learning/003 Types of Machine Learning.mp4 51.0 MB
  • ~Get Your Files Here !/12 - Recommendation System - Content Based/002 Recommendation Systems.mp4 50.8 MB
  • ~Get Your Files Here !/04 - Introduction to Data/003 Types of Data.mp4 49.5 MB
[磁力链接] 添加时间:2024-08-15 大小:3.1 GB 最近下载:2025-10-23 热度:942

Linkedin Learning Python For Non-Programmers

  • 7. Project 3- Number Guesser/2. Higher lower and polish.mp4 20.2 MB
  • 3. Project 1- Fortune Cookie/2. Choosing what fortune to show.mp4 16.0 MB
  • 5. Project 2- Lyrics Analyzer/2. Counting the words.mp4 15.2 MB
  • 3. Project 1- Fortune Cookie/1. Picking random numbers.mp4 14.9 MB
  • 2. Python Basics/5. Booleans and if statements.mp4 14.2 MB
  • 4. Lists Loops and Dictionaries/3. For loops.mp4 14.2 MB
  • 7. Project 3- Number Guesser/1. Game loop.mp4 13.5 MB
  • 2. Python Basics/6. Comparison and else.mp4 13.3 MB
  • 6. Functions and More/5. Input.mp4 12.6 MB
  • 2. Python Basics/4. Using variables in strings.mp4 12.1 MB
  • 4. Lists Loops and Dictionaries/4. Dictionaries.mp4 11.8 MB
  • 2. Python Basics/1. Variables.mp4 11.5 MB
  • 5. Project 2- Lyrics Analyzer/1. Splitting a string.mp4 11.4 MB
  • 4. Lists Loops and Dictionaries/2. Lists- Add insert delete.mp4 11.4 MB
  • 2. Python Basics/3. Strings.mp4 10.4 MB
  • 6. Functions and More/3. Return.mp4 10.2 MB
  • 2. Python Basics/2. Numbers- Ints and floats.mp4 9.3 MB
  • 6. Functions and More/2. Parameters.mp4 9.3 MB
  • 4. Lists Loops and Dictionaries/1. Lists.mp4 9.3 MB
  • 6. Functions and More/4. Comments.mp4 8.9 MB
[磁力链接] 添加时间:2024-08-13 大小:298.5 MB 最近下载:2025-10-27 热度:3856

Mastering Machine Learning Algorithms using Python

  • Chapter 13 Introduction to Deep Learning/001. Introduction to Deep Learning.mp4 262.8 MB
  • Chapter 04 Exploratory Data Analysis/009. EDA Project 7.mp4 138.3 MB
  • Chapter 03 Learning Python/010. Python Sets 1.mp4 136.7 MB
  • Chapter 06 Logistic Regression/006. Model Evaluation - AUC-ROC.mp4 127.3 MB
  • Chapter 03 Learning Python/023. Pandas DataFrame 5.mp4 126.1 MB
  • Chapter 12 Unsupervised Learning using K-Means Clustering/002. K-Means Clustering Computation.mp4 120.4 MB
  • Chapter 01 Introduction to Machine Learning/004. History of Machine Learning.mp4 115.6 MB
  • Chapter 06 Logistic Regression/004. Data Analysis and Feature Engineering.mp4 108.3 MB
  • Chapter 05 Linear Regression/010. Data Preparation and Analysis 3.mp4 104.6 MB
  • Chapter 02 Statistical Techniques/008. Hypothesis Testing.mp4 100.4 MB
  • Chapter 03 Learning Python/016. Pandas Series 2.mp4 98.3 MB
  • Chapter 06 Logistic Regression/002. Logit Model.mp4 96.7 MB
  • Chapter 01 Introduction to Machine Learning/007. Challenges in Machine Learning.mp4 95.0 MB
  • Chapter 02 Statistical Techniques/004. Histograms and Normal Approximation.mp4 93.4 MB
  • Chapter 09 Random Forest Ensemble/003. Model Building and Hyperparameter Tuning using Grid Search CV.mp4 92.2 MB
  • Chapter 05 Linear Regression/006. OLS Assumptions and Testing.mp4 91.4 MB
  • Chapter 03 Learning Python/007. Python Tuples.mp4 90.3 MB
  • Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/001. Principal Component Analysis - Concepts.mp4 90.0 MB
  • Chapter 08 Decision Tree Classifier/006. Model Optimization using Grid Search Cross Validation.mp4 89.7 MB
  • Chapter 03 Learning Python/003. Python Variables and Conditions.mp4 88.6 MB
[磁力链接] 添加时间:2024-08-05 大小:7.7 GB 最近下载:2025-10-26 热度:4209

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ - AI, Python & R + ChatGPT Bonus [2023]​

  • 41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
  • 29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
  • 36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
  • 37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
  • 36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
  • 20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
  • 29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
  • 43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
  • 37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
  • 35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
  • 39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
  • 37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
  • 40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
  • 32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
  • 29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
  • 44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
  • 37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
  • 37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
  • 34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
  • 39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB
[磁力链接] 添加时间:2024-08-04 大小:17.4 GB 最近下载:2025-06-23 热度:262

[FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python

  • 9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
  • 6. Pandas/6. Remove Operations.mp4 123.1 MB
  • 9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
  • 9. Cross Validation/1. Cross Validation.mp4 117.4 MB
  • 5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
  • 8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
  • 9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
  • 6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
  • 6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
  • 8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
  • 3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
  • 3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
  • 9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
  • 9. Cross Validation/9. Text Data Example.mp4 94.2 MB
  • 3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
  • 5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
  • 9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
  • 6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
  • 6. Pandas/5. Pandas Column Select.mp4 83.4 MB
  • 3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB
[磁力链接] 添加时间:2024-07-29 大小:3.9 GB 最近下载:2025-06-21 热度:180

[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • 16 Projects/002 Project - 2.mp4 114.4 MB
  • 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 90.1 MB
  • 16 Projects/003 Project - 3.mp4 86.3 MB
  • 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • 05 Numpy Library/005 Numpy Functions.mp4 81.2 MB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 75.8 MB
  • 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 70.4 MB
  • 03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
  • 05 Numpy Library/007 Numpy Exercises.mp4 66.1 MB
  • 04 Object Oriented Programming/005 Overriding and Overloading.mp4 61.7 MB
  • 11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 58.8 MB
  • 08 Matplotlib/005 Figure Customization.mp4 57.3 MB
  • 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 57.0 MB
  • 07 Data Frame with Pandas/011 Work with Dataset Files.mp4 56.8 MB
  • 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 53.9 MB
  • 03 Fundamentals of Python/004 Loops.mp4 51.5 MB
  • 03 Fundamentals of Python/010 Exercise Solution.mp4 50.0 MB
  • 12 Artificial Neural Network/004 Tensor Operations.mp4 49.9 MB
  • 03 Fundamentals of Python/001 Data Types in Python.mp4 43.1 MB
  • 03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 42.4 MB
[磁力链接] 添加时间:2024-07-28 大小:2.0 GB 最近下载:2025-09-11 热度:1348

Cluster Analysis and Unsupervised Machine Learning in Python

  • Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
  • Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
  • Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
  • Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
  • Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
  • Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
  • Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
  • Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
  • Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
  • Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
  • Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
  • Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
  • Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
  • Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
  • Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
  • Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
  • Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
  • Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
  • Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
  • Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB
[磁力链接] 添加时间:2024-07-27 大小:1.3 GB 最近下载:2025-10-27 热度:4373

Natural Language Processing - Machine Learning Models in Python

  • Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 56.1 MB
  • Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 40.9 MB
  • Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 39.1 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 38.7 MB
  • Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 36.6 MB
  • Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 35.8 MB
  • Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 33.1 MB
  • Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 31.0 MB
  • Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 30.6 MB
  • Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 28.0 MB
  • Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.0 MB
  • Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 27.5 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 27.4 MB
  • Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 26.1 MB
  • Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.9 MB
  • Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.9 MB
  • Chapter 5 Text Summarization/005. TextRank Intuition.mp4 22.3 MB
  • Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.9 MB
  • Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp4 21.4 MB
  • Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 20.8 MB
[磁力链接] 添加时间:2024-07-23 大小:827.1 MB 最近下载:2025-10-26 热度:5481

Natural Language Processing - Deep Learning Models in Python

  • Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 57.2 MB
  • Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp4 54.1 MB
  • Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp4 42.5 MB
  • Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp4 39.5 MB
  • Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 38.8 MB
  • Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp4 38.8 MB
  • Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp4 35.9 MB
  • Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp4 35.5 MB
  • Chapter 3 The Neuron/002. Fitting a Line.mp4 34.0 MB
  • Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp4 28.8 MB
  • Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp4 25.6 MB
  • Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.mp4 25.3 MB
  • Chapter 3 The Neuron/006. How does a model learn.mp4 23.6 MB
  • Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 23.5 MB
  • Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 22.1 MB
  • Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.mp4 21.5 MB
  • Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 21.4 MB
  • Chapter 3 The Neuron/005. The Neuron.mp4 21.1 MB
  • Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 21.0 MB
  • Chapter 6 Recurrent Neural Networks/003. Simple RNN Elman Unit (pt 2).mp4 20.7 MB
[磁力链接] 添加时间:2024-07-20 大小:934.1 MB 最近下载:2025-10-27 热度:5754

[FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 196.8 MB
  • 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.3 MB
  • 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 133.1 MB
  • 8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
  • 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 119.9 MB
  • 3. Collaborative Filtering/4. Data Preprocessing.mp4 112.1 MB
  • 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 104.6 MB
  • 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 98.9 MB
  • 8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 86.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 75.8 MB
  • 8. Appendix/6. How to Code by Yourself (part 1).mp4 73.2 MB
  • 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 65.1 MB
  • 3. Collaborative Filtering/2. User-User Collaborative Filtering.mp4 63.6 MB
  • 8. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.mp4 58.8 MB
[磁力链接] 添加时间:2024-07-07 大小:3.8 GB 最近下载:2025-10-18 热度:316

[ FreeCryptoLearn.com ] Udemy - Deep Learning for algorithmic trading using Python

  • ~Get Your Files Here !/4. Import and manage the data/2. Import & manage data from Metatrader 5.mp4 109.5 MB
  • ~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/2. Quick recap of the DNN theory.mp4 90.0 MB
  • ~Get Your Files Here !/3. Python for data science/4. Numpy Indexing Slicing transformation.mp4 89.6 MB
  • ~Get Your Files Here !/2. Python basics/3. Type of object String.mp4 87.6 MB
  • ~Get Your Files Here !/3. Python for data science/6. Pandas Cleaning and selection data.mp4 85.5 MB
  • ~Get Your Files Here !/7. Vectorized backtesting/3. Beta ratio computation (CAPM metric).mp4 76.2 MB
  • ~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/6. Create a DNN using Tensorflow 2.0.mp4 72.1 MB
  • ~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/5. How to create a RNN using TensorFlow 2.0.mp4 70.4 MB
  • ~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/7. RNN prediction to create a trading strategy.mp4 63.6 MB
  • ~Get Your Files Here !/3. Python for data science/2. Numpy Array.mp4 63.0 MB
  • ~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/7. Use the DNN predictions to create a trading strategy.mp4 62.2 MB
  • ~Get Your Files Here !/7. Vectorized backtesting/2. Sortino ratio computation.mp4 60.3 MB
  • ~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/11. Bagging method using the different ANNs.mp4 60.3 MB
  • ~Get Your Files Here !/3. Python for data science/3. Numpy Random.mp4 56.8 MB
  • ~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/3. Recap from the DNN chapter.mp4 54.1 MB
  • ~Get Your Files Here !/2. Python basics/6. Type of object Tuple and list.mp4 52.3 MB
  • ~Get Your Files Here !/2. Python basics/7. Type of object Dictionary.mp4 49.0 MB
  • ~Get Your Files Here !/9. MetaTrader 5 live trading using Python/6. Get current positions.mp4 46.6 MB
  • ~Get Your Files Here !/9. MetaTrader 5 live trading using Python/5. Send orders on the market using Python.mp4 46.6 MB
  • ~Get Your Files Here !/4. Import and manage the data/3. Import & manage data from Yahoo Finance.mp4 46.0 MB
[磁力链接] 添加时间:2024-07-07 大小:2.7 GB 最近下载:2025-10-21 热度:481

[freecourse.pro]-Machine Learning A-Z AI, Python & R + ChatGPT.zip

  • [freecourse.pro]-Machine Learning A-Z AI, Python & R + ChatGPT.zip 1.3 GB
[磁力链接] 添加时间:2024-07-01 大小:1.3 GB 最近下载:2025-05-17 热度:774

[ FreeCourseWeb.com ] Udemy - Neural Networks in Python - Deep Learning for Beginners

  • ~Get Your Files Here !/11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
  • ~Get Your Files Here !/13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • ~Get Your Files Here !/4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
  • ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
  • ~Get Your Files Here !/12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
  • ~Get Your Files Here !/3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
  • ~Get Your Files Here !/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
  • ~Get Your Files Here !/10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
  • ~Get Your Files Here !/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
  • ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
  • ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
  • ~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
  • ~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
  • ~Get Your Files Here !/5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
  • ~Get Your Files Here !/15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
  • ~Get Your Files Here !/14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
[磁力链接] 添加时间:2024-06-29 大小:3.3 GB 最近下载:2025-10-09 热度:2526

[Udemy][YouRa Allakhverdov] Data Science и Machine Learning на Python 3 с нуля (2022)

  • Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 5 Задание по линейной регрессии. Решение.mp4 211.7 MB
  • Раздел 17 Decision Trees и Random Forests/[SW.BAND] 4 Решение задания.mp4 202.6 MB
  • Раздел 11 Data Science Final Project/[SW.BAND] 2 Задание US Shootings. Решение.mp4 195.6 MB
  • Раздел 3 Основы Python/[SW.BAND] 8 Форматирование строк в Python.mp4 184.7 MB
  • Раздел 4 Функции Python/[SW.BAND] 3 args _ kwargs.mp4 171.3 MB
  • Раздел 4 Функции Python/[SW.BAND] 2 Создание функций в Python.mp4 165.2 MB
  • Раздел 7 Анализ данных. Библиотека Pandas/[SW.BAND] 10 Input Output.mp4 159.4 MB
  • Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 6 Решение задания.mp4 158.2 MB
  • Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 2 Множество данных “Титаник”. Исследование данных.mp4 156.0 MB
  • Раздел 3 Основы Python/[SW.BAND] 4 Переменные в Python.mp4 154.8 MB
  • Раздел 16 Метод k-ближайших соседей/[SW.BAND] 4 Решение задания.mp4 152.6 MB
  • Раздел 4 Функции Python/[SW.BAND] 4 Лямбда выражения в функциях.mp4 152.4 MB
  • Раздел 9 Визуализация данных. Библиотека Seaborn/[SW.BAND] 2 Dataset Distribution.mp4 147.0 MB
  • Раздел 16 Метод k-ближайших соседей/[SW.BAND] 2 Метод k-ближайших соседей.mp4 146.6 MB
  • Раздел 3 Основы Python/[SW.BAND] 20 Dictionary Comprehension _ Set Comprehension и Nested loops.mp4 141.9 MB
  • Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 3 Линейная регрессия. Создание модели.mp4 135.4 MB
  • Раздел 12 Знакомство с Machine Learning/[SW.BAND] 3 Оценка производительности модели. Классификация.mp4 135.1 MB
  • Раздел 6 Анализ данных. Библиотека NumPy/[SW.BAND] 1 NumPy массивы.mp4 134.8 MB
  • Раздел 8 Визуализация данных. Библиотека Matplotlib/[SW.BAND] 6 Задание по разделу Matplotlib. Решение.mp4 134.1 MB
  • Раздел 10 Визуализация данных. Встроенная визуализация библиотеки Pandas/[SW.BAND] 1 Встроенная визуализация библиотеки Pandas.mp4 133.9 MB
[磁力链接] 添加时间:2024-06-27 大小:8.0 GB 最近下载:2025-06-27 热度:311

[freecourse.pro]-Data Science in Python Unsupervised Learning (2024-5)

  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/36. DEMO DBSCAN and Silhouette Score in Python.mp4 147.8 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/4. SOLUTION Hierarchical Clustering.mp4 137.5 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/3. SOLUTION K-Means Clustering.mp4 118.3 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/23. SOLUTION Selecting the Best K-Means Model.mp4 117.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/42. DEMO Label Unseen Data.mp4 109.6 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/10. PROJECT Recommending Restaurants/3. SOLUTION TruncatedSVD.mp4 103.2 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/29. DEMO Cluster Maps in Python.mp4 97.0 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/7. Anomaly Detection/10. SOLUTION Isolation Forests.mp4 95.3 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/12. DEMO Interpreting PCA.mp4 86.6 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/12. Final Project/2. SOLUTION Data Prep & EDA.mp4 86.0 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/21. DEMO Selecting the Best Model.mp4 85.0 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/19. SOLUTION Tuning a K-Means Model.mp4 82.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/25. Dendrograms in Python.mp4 79.1 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/17. T-SNE.mp4 78.8 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/6. SOLUTION Compare, Recommend and Predict.mp4 71.8 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/22. DEMO Dimensionality Reduction and Clustering.mp4 64.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/13. DEMO Plotting Inertia in Python.mp4 61.5 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/6. Visualizing K-Means Clustering.mp4 59.4 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/14. SOLUTION Interpreting PCA.mp4 59.3 MB
  • Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/18. T-SNE in Python.mp4 58.9 MB
[磁力链接] 添加时间:2024-06-26 大小:5.2 GB 最近下载:2025-10-24 热度:421

[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

  • 8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
  • 8 - Setting Up Your Environment FAQ by Student Request/69 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.8 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/77 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/76 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 124.1 MB
  • 9 - Extra Help With Python Coding for Beginners FAQ by Student Request/72 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • 9 - Extra Help With Python Coding for Beginners FAQ by Student Request/70 - How to Code by Yourself part 1.mp4 97.5 MB
  • 4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4 87.4 MB
  • 11 - Appendix FAQ Finale/79 - BONUS.mp4 63.8 MB
  • 10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/75 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
  • 5 - Bayesian AB Testing/55 - Thompson Sampling With Gaussian Reward Theory.mp4 56.1 MB
  • 7 - Practice Makes Perfect/67 - The most important quiz of all Obtaining an infinite amount of practice.mp4 54.6 MB
  • 5 - Bayesian AB Testing/38 - Applications of the ExploreExploit Dilemma.mp4 49.3 MB
  • 5 - Bayesian AB Testing/52 - Bayesian Bandits Thompson Sampling Theory pt 2.mp4 44.0 MB
  • 3 - Bayes Rule and Probability Review/19 - Suggestion Box.mp4 41.7 MB
  • 5 - Bayesian AB Testing/56 - Thompson Sampling With Gaussian Reward Code.mp4 36.6 MB
  • 1 - Introduction and Outline/2 - Where to get the code for this course.mp4 36.4 MB
  • 4 - Traditional AB Testing/34 - ZTest Code pt 2.mp4 35.5 MB
  • 5 - Bayesian AB Testing/61 - Optional Alternative Bandit Designs.mp4 35.3 MB
  • 3 - Bayes Rule and Probability Review/16 - Probability Review in Code.mp4 34.1 MB
  • 5 - Bayesian AB Testing/48 - UCB1 Theory.mp4 33.6 MB
[磁力链接] 添加时间:2024-06-26 大小:2.8 GB 最近下载:2025-09-28 热度:503

Udemy Complete Machine Learning Course With Python

  • 1 - Introduction/6 - Basic Python Concepts.mp4 509.0 MB
  • 18 - KMeans Clusteringunsupervised model/48 - KMeans Clustering Program1.mp4 218.8 MB
  • 17 - Random Forest/46 - Random Forest Defination and its practice program1.mp4 204.5 MB
  • 12 - Logistic Regression/39 - What is Logistic Regression and program1.mp4 200.0 MB
  • 22 - Model Selection/57 - Model Selection Program1.mp4 199.9 MB
  • 20 - Principle Component AnalysisPCA/51 - Principle Component Analysis Program1.mp4 179.1 MB
  • 13 - Support Vector MachineSVM/40 - What is Support Vector Machine.mp4 171.4 MB
  • 15 - KNN Classifier/44 - KNN Classifer defination and its practice program1.mp4 160.9 MB
  • 9 - Ridge Regression/35 - Ridge RegressionProgram 1.mp4 151.6 MB
  • 14 - Naive Bayes Classification/43 - Naive Bayes Classification Program2.mp4 149.6 MB
  • 16 - Decision Trees/45 - Decision Trees Defination and its program1.mp4 143.8 MB
  • 3 - Exploratory Data Analysis/14 - Drawing Graphs.mp4 141.3 MB
  • 7 - One Hot Encoding/29 - One Hot EncodingProgram 1.mp4 135.1 MB
  • 10 - Lasso Regression/37 - What is Lasso regression and practice program1.mp4 133.5 MB
  • 11 - ElasticNet Regression/38 - what is ElasticNet Regression and practice program1.mp4 130.8 MB
  • 11 - ElasticNet Regression/38 - 10.ElasticNet-Regression.mp4 130.2 MB
  • 8 - Polynomial Linear Regression/32 - Polynomial Linear Regression Program1.mp4 130.0 MB
  • 4 - Outliers/18 - IQR and handling the outliers.mp4 126.3 MB
  • 6 - Multiple Linear Regression/25 - Multiple Linear Regression program 1.mp4 124.3 MB
  • 2 - Introduction to Machine Learning and Anaconda Installation/7 - Introduction to Machine Learning.mp4 119.8 MB
[磁力链接] 添加时间:2024-06-22 大小:5.1 GB 最近下载:2025-10-16 热度:4586

[ FreeCourseWeb.com ] Skillshare - Face Mask Detection Project with Deep Learning and Python

  • ~Get Your Files Here !/30. Prediction Step -1, Face Detection.mp4 60.4 MB
  • ~Get Your Files Here !/13. Data Preparation Draw Bounding Box for Detected Face.mp4 50.4 MB
  • ~Get Your Files Here !/15. Data Preparation Step-5, Image Processing - Blob from Image.mp4 44.9 MB
  • ~Get Your Files Here !/03. Data Preparation Data.mp4 43.6 MB
  • ~Get Your Files Here !/18. Data Preparation Apply Data Preparation process to All images.mp4 43.0 MB
  • ~Get Your Files Here !/24. Deep Learning Develop CNN model in TensorFlow 2.mp4 42.6 MB
  • ~Get Your Files Here !/34. Prediction Get Face Mask Prediction to an Image.mp4 41.5 MB
  • ~Get Your Files Here !/35. Prediction Real Time Face Mask Prediction.mp4 40.7 MB
  • ~Get Your Files Here !/32. Prediction Step-3, Get Predictions from CNN Model.mp4 40.4 MB
  • ~Get Your Files Here !/31. Prediction Step -2, Data Preprocess.mp4 38.7 MB
  • ~Get Your Files Here !/14. Data Preparation Step-4, Crop the Detected Face.mp4 35.9 MB
  • ~Get Your Files Here !/33. Prediction Generate text for Prediction info.mp4 34.7 MB
  • ~Get Your Files Here !/23. Deep Learning Convolutional Neural Network Architecture.mp4 32.6 MB
  • ~Get Your Files Here !/27. Deep Learning Save Convolutional Neural Network inTensorFlow.mp4 30.6 MB
  • ~Get Your Files Here !/06. Data Preparation Get all Images Path in Folder.mp4 30.4 MB
  • ~Get Your Files Here !/01. Introduction.mp4 29.8 MB
  • ~Get Your Files Here !/04. Data Preparation Process Flow Idea.mp4 28.3 MB
  • ~Get Your Files Here !/25. Deep Learning Compile CNN model.mp4 25.3 MB
  • ~Get Your Files Here !/08. Data Preparation Get Images Path and Labelling Images in multiple Folders.mp4 24.9 MB
  • ~Get Your Files Here !/21. Deep Learning One Hot Encoding to target or output variables.mp4 24.8 MB
[磁力链接] 添加时间:2024-06-19 大小:979.8 MB 最近下载:2025-09-22 热度:575

[ FreeCourseWeb.com ] Deep Learning CNN - Convolutional Neural Networks with Python

  • ~Get Your Files Here !/Chapter 9 Transfer Learning/005. Project in TensorFlow.mp4 156.9 MB
  • ~Get Your Files Here !/Chapter 12 Neural Style Transfer/001. Problem Setup.mp4 115.6 MB
  • ~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/002. FashionMNIST Example Plan Neural Network.mp4 93.7 MB
  • ~Get Your Files Here !/Chapter 7 Introduction to TensorFlow/003. FashionMNIST Example CNN.mp4 92.5 MB
  • ~Get Your Files Here !/Chapter 1 Introduction to the Course/003. Why CNN.mp4 86.9 MB
  • ~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/020. Implementation in NumPy BackwardPass 5.mp4 84.8 MB
  • ~Get Your Files Here !/Chapter 11 Face Verification/002. Project Implementation.mp4 75.0 MB
  • ~Get Your Files Here !/Chapter 2 Image Processing/026. Implementation of Image Blurring Edge Detection Image Sharpening in Python.mp4 67.5 MB
  • ~Get Your Files Here !/Chapter 5 Deep Neural Network Architecture/010. NonVectorized Implementations of Conv2d and Pool2d.mp4 67.0 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/007. Shift Scale Rotation Invariance Exercise.mp4 61.5 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/033. Rprop and Momentum.mp4 60.8 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/037. DropOut, Early Stopping and Hyperparameters.mp4 53.6 MB
  • ~Get Your Files Here !/Chapter 6 Gradient Descent in CNNs/019. Implementation in NumPy BackwardPass 4.mp4 52.0 MB
  • ~Get Your Files Here !/Chapter 1 Introduction to the Course/001. Course Overview.mp4 51.2 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/006. Shift Scale Rotation Invariance.mp4 48.3 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/002. Classification Pipeline.mp4 46.0 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/001. Neuron and Perceptron.mp4 45.8 MB
  • ~Get Your Files Here !/Chapter 9 Transfer Learning/003. ImageNet Challenge.mp4 44.7 MB
  • ~Get Your Files Here !/Chapter 3 Object Detection/008. Person Detection.mp4 44.2 MB
  • ~Get Your Files Here !/Chapter 4 Deep Neural Network Overview/028. Weight Initialization.mp4 43.8 MB
[磁力链接] 添加时间:2024-06-16 大小:3.8 GB 最近下载:2025-10-26 热度:1451


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