[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

•  2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4  147.81 MB
•  6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4  142.06 MB
•  10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt  141.62 MB
•  10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4  141.58 MB
•  8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4  134.02 MB
•  5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4  132.55 MB
•  6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4  132.26 MB
•  7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4  129.38 MB
•  2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4  129.35 MB
•  10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4  128.24 MB
•  2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4  125.14 MB
•  1. Getting Started/11. Introducing the Pandas Library [Optional].mp4  123.1 MB
•  8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4  117.86 MB
•  2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4  116.74 MB
•  10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4  115.26 MB
•  2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4  114.04 MB
•  8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4  111.98 MB
•  2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4  110.86 MB
•  6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4  109.73 MB
•  10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4  108.64 MB
•  5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4  107.83 MB
•  8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4  105.68 MB
•  6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4  103.33 MB
•  8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4  102.99 MB
•  1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4  102.76 MB
•  7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4  102.34 MB
•  3. Predictive Models/1. [Activity] Linear Regression.mp4  100.46 MB
•  4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4  98.61 MB
•  8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4  98.51 MB
•  11. Final Project/2. Final project review.mp4  98.5 MB
•  9. Experimental Design ML in the Real World/2. AB Testing Concepts.srt  97.49 MB
•  9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4  97.49 MB
•  1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4  96.53 MB
•  9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4  96.1 MB
•  4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4  95.95 MB
•  5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4  94.86 MB
•  10. Deep Learning and Neural Networks/11. Convolutional Neural Networks (CNN's).mp4  93.09 MB
•  10. Deep Learning and Neural Networks/9. [Activity] Introducing Keras.mp4  92.05 MB
•  8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4  89.86 MB
•  4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4  89.09 MB
•  10. Deep Learning and Neural Networks/10. [Activity] Using Keras to Predict Political Affiliations.mp4  88.2 MB
•  4. Machine Learning with Python/11. Decision Trees Concepts.mp4  86.53 MB
•  5. Recommender Systems/1. User-Based Collaborative Filtering.mp4  86.37 MB
•  10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4  86.27 MB
•  5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4  84.23 MB
•  8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.mp4  83.63 MB
•  9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.srt  81.63 MB
•  9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4  81.62 MB
•  10. Deep Learning and Neural Networks/14. [Activity] Using a RNN for sentiment analysis.mp4  81.36 MB
•  1. Getting Started/6. [Activity] LINUX Installing and Using Anaconda & Course Materials.mp4  80.21 MB