[DesireCourse.Net] Udemy - Machine Learning, Data Science and Deep Learning with Python

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文件数目:233个文件
文件大小:9.39 GB
收录时间:2020-10-31
访问次数:7
相关内容:DesireCourseUdemyMachineLearningDataScienceDeepwithPython
文件meta
  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4
    200.58 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4
    190.99 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4
    189.7 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4
    188.51 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4
    182.27 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4
    167.41 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4
    159.62 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4
    156.35 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4
    155.8 MB
  • 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4
    152.01 MB
  • 6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4
    150.65 MB
  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4
    147.82 MB
  • 4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4
    144.92 MB
  • 3. Predictive Models/1. [Activity] Linear Regression.mp4
    144.36 MB
  • 9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4
    141.84 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/6. Spark and the Resilient Distributed Dataset (RDD).mp4
    140.62 MB
  • 9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4
    139.78 MB
  • 5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4
    136.49 MB
  • 4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4
    134.38 MB
  • 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4
    134.01 MB
  • 5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4
    128.73 MB
  • 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4
    128.25 MB
  • 8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4
    127.54 MB
  • 4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4
    125.19 MB
  • 4. Machine Learning with Python/11. Decision Trees Concepts.mp4
    125.19 MB
  • 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4
    125.15 MB
  • 5. Recommender Systems/1. User-Based Collaborative Filtering.mp4
    124.65 MB
  • 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4
    123.11 MB
  • 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4
    118.23 MB
  • 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4
    117.87 MB
  • 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4
    115.27 MB
  • 9. Experimental Design ML in the Real World/4. [Activity] Hands-on With T-Tests.mp4
    113.84 MB
  • 7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4
    112.36 MB
  • 2. Statistics and Probability Refresher, and Python Practice/1. Types of Data.mp4
    112.17 MB
  • 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4
    111.98 MB
  • 5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4
    108.57 MB
  • 2. Statistics and Probability Refresher, and Python Practice/6. Common Data Distributions.mp4
    105.82 MB
  • 8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4
    105.68 MB
  • 12. You made it!/1. More to Explore.mp4
    104.69 MB
  • 10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4
    104.55 MB
  • 4. Machine Learning with Python/5. K-Means Clustering.mp4
    104 MB
  • 8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4
    103 MB
  • 1. Getting Started/4. [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4
    102.77 MB
  • 4. Machine Learning with Python/14. [Activity] XGBoost.mp4
    102.09 MB
  • 8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4
    100.04 MB
  • 6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4
    98.55 MB
  • 11. Final Project/2. Final project review.mp4
    98.51 MB
  • 3. Predictive Models/2. [Activity] Polynomial Regression.mp4
    96.61 MB
  • 1. Getting Started/5. [Activity] MAC Installing and Using Anaconda & Course Materials.mp4
    96.53 MB
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