[UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python 收录时间:2020-03-15 19:09:35 文件大小:2GB 下载次数:8 最近下载:2020-11-22 10:17:09 磁力链接: magnet:?xt=urn:btih:07cfa7e840f2e3f9edd855cbcc680a63c85010a0 立即下载 复制链接 文件列表 06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp4 64MB 05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp4 63MB 07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp4 60MB 06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp4 54MB 10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp4 54MB 06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp4 53MB 03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4 50MB 02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4 50MB 02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4 50MB 02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4 49MB 10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp4 49MB 05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp4 48MB 04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4 48MB 07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 46MB 05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp4 46MB 02 Statistics and Probability Refresher_ and Python Practise/011 [Activity] Variation and Standard Deviation.mp4 46MB 12 You made it!/088 More to Explore.mp4 45MB 05 Recommender Systems/040 [Activity] Improving the Results of Movie Similarities.mp4 44MB 01 Getting Started/004 Python Basics_ Part 1.mp4 44MB 01 Getting Started/007 Introducing the Pandas Library.mp4 43MB 02 Statistics and Probability Refresher_ and Python Practise/014 [Activity] Percentiles and Moments.mp4 43MB 01 Getting Started/003 [Activity] Installing Enthought Canopy.mp4 41MB 04 Machine Learning with Python/032 Decision Trees_ Concepts.mp4 40MB 07 Dealing with Real-World Data/054 [Activity] Detecting outliers.mp4 39MB 02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python.mp4 39MB 04 Machine Learning with Python/033 [Activity] Decision Trees_ Predicting Hiring Decisions.mp4 38MB 05 Recommender Systems/037 User-Based Collaborative Filtering.mp4 37MB 04 Machine Learning with Python/027 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 36MB 06 More Data Mining and Machine Learning Techniques/045 Dimensionality Reduction; Principal Component Analysis.mp4 36MB 10 Deep Learning and Neural Networks/077 [Activity] Using Tensorflow_ Part 2.mp4 34MB 02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp4 34MB 10 Deep Learning and Neural Networks/078 [Activity] Introducing Keras.mp4 34MB 04 Machine Learning with Python/034 Ensemble Learning.mp4 34MB 05 Recommender Systems/038 Item-Based Collaborative Filtering.mp4 34MB 03 Predictive Models/020 [Activity] Linear Regression.mp4 33MB 07 Dealing with Real-World Data/051 Data Cleaning and Normalization.mp4 32MB 07 Dealing with Real-World Data/049 Bias_Variance Tradeoff.mp4 31MB 10 Deep Learning and Neural Networks/071 Deep Learning Pre-Requisites.mp4 30MB 04 Machine Learning with Python/028 K-Means Clustering.mp4 30MB 02 Statistics and Probability Refresher_ and Python Practise/019 Bayes' Theorem.mp4 30MB 03 Predictive Models/021 [Activity] Polynomial Regression.mp4 30MB 01 Getting Started/005 [Activity] Python Basics_ Part 2.mp4 28MB 10 Deep Learning and Neural Networks/076 [Activity] Using Tensorflow_ Part 1.mp4 28MB 02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode.mp4 28MB 11 Final Project/087 Final project review.mp4 28MB 01 Getting Started/001 Introduction.mp4 28MB 10 Deep Learning and Neural Networks/083 [Activity] Using a RNN for sentiment analysis.mp4 28MB 02 Statistics and Probability Refresher_ and Python Practise/013 Common Data Distributions.mp4 28MB 10 Deep Learning and Neural Networks/079 [Activity] Using Keras to Predict Political Affiliations.mp4 27MB 10 Deep Learning and Neural Networks/085 Learning More about Deep Learning.mp4 26MB 10 Deep Learning and Neural Networks/075 Introducing Tensorflow.mp4 25MB 12 You made it!/090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!.mp4 24MB 10 Deep Learning and Neural Networks/080 Convolutional Neural Networks (CNN's).mp4 24MB 04 Machine Learning with Python/029 [Activity] Clustering people based on income and age.mp4 24MB 03 Predictive Models/023 Multi-Level Models.mp4 24MB 10 Deep Learning and Neural Networks/072 The History of Artificial Neural Networks.mp4 22MB 10 Deep Learning and Neural Networks/081 [Activity] Using CNN's for handwriting recognition.mp4 22MB 04 Machine Learning with Python/025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression.mp4 22MB 04 Machine Learning with Python/035 Support Vector Machines (SVM) Overview.mp4 22MB 01 Getting Started/006 Running Python Scripts.mp4 22MB 10 Deep Learning and Neural Networks/082 Recurrent Neural Networks (RNN's).mp4 22MB 04 Machine Learning with Python/036 [Activity] Using SVM to cluster people using scikit-learn.mp4 21MB 06 More Data Mining and Machine Learning Techniques/043 K-Nearest-Neighbors_ Concepts.mp4 20MB 11 Final Project/086 Your final project assignment.mp4 20MB 04 Machine Learning with Python/026 Bayesian Methods_ Concepts.mp4 19MB 07 Dealing with Real-World Data/053 Normalizing numerical data.mp4 19MB 10 Deep Learning and Neural Networks/074 Deep Learning Details.mp4 18MB 04 Machine Learning with Python/030 Measuring Entropy.mp4 17MB 02 Statistics and Probability Refresher_ and Python Practise/018 Exercise Solution_ Conditional Probability of Purchase by Age.mp4 14MB 02 Statistics and Probability Refresher_ and Python Practise/012 Probability Density Function; Probability Mass Function.mp4 12MB 01 Getting Started/002 [Activity] Getting What You Need.mp4 10MB 01 Getting Started/004 Python Basics_ Part 1-subtitle-en.srt 34KB 02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib-subtitle-en.srt 27KB 06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning-subtitle-en.srt 27KB 06 More Data Mining and Machine Learning Techniques/044 [Activity] Using KNN to predict a rating for a movie-subtitle-en.srt 27KB 02 Statistics and Probability Refresher_ and Python Practise/014 [Activity] Percentiles and Moments-subtitle-en.srt 27KB 10 Deep Learning and Neural Networks/078 [Activity] Introducing Keras-subtitle-en.srt 25KB 02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation-subtitle-en.srt 25KB 02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability-subtitle-en.srt 24KB 02 Statistics and Probability Refresher_ and Python Practise/011 [Activity] Variation and Standard Deviation-subtitle-en.srt 24KB 03 Predictive Models/020 [Activity] Linear Regression-subtitle-en.srt 24KB 03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices-subtitle-en.srt 24KB 07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting-subtitle-en.srt 23KB 10 Deep Learning and Neural Networks/075 Introducing Tensorflow-subtitle-en.srt 23KB 10 Deep Learning and Neural Networks/077 [Activity] Using Tensorflow_ Part 2-subtitle-en.srt 23KB 07 Dealing with Real-World Data/052 [Activity] Cleaning web log data-subtitle-en.srt 23KB 10 Deep Learning and Neural Networks/079 [Activity] Using Keras to Predict Political Affiliations-subtitle-en.srt 22KB 05 Recommender Systems/041 [Activity] Making Movie Recommendations to People-subtitle-en.srt 21KB 04 Machine Learning with Python/033 [Activity] Decision Trees_ Predicting Hiring Decisions-subtitle-en.srt 21KB 10 Deep Learning and Neural Networks/080 Convolutional Neural Networks (CNN's)-subtitle-en.srt 21KB 10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground-subtitle-en.srt 20KB 10 Deep Learning and Neural Networks/071 Deep Learning Pre-Requisites-subtitle-en.srt 20KB 06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set-subtitle-en.srt 20KB 04 Machine Learning with Python/032 Decision Trees_ Concepts-subtitle-en.srt 20KB 01 Getting Started/005 [Activity] Python Basics_ Part 2-subtitle-en.srt 20KB 04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test-subtitle-en.srt 20KB 10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning-subtitle-en.srt 20KB 10 Deep Learning and Neural Networks/072 The History of Artificial Neural Networks-subtitle-en.srt 20KB 10 Deep Learning and Neural Networks/082 Recurrent Neural Networks (RNN's)-subtitle-en.srt 19KB 05 Recommender Systems/039 [Activity] Finding Movie Similarities-subtitle-en.srt 19KB 05 Recommender Systems/038 Item-Based Collaborative Filtering-subtitle-en.srt 19KB 06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT-subtitle-en.srt 19KB 05 Recommender Systems/037 User-Based Collaborative Filtering-subtitle-en.srt 18KB 01 Getting Started/007 Introducing the Pandas Library-subtitle-en.srt 18KB 10 Deep Learning and Neural Networks/083 [Activity] Using a RNN for sentiment analysis-subtitle-en.srt 18KB 10 Deep Learning and Neural Networks/074 Deep Learning Details-subtitle-en.srt 17KB 02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python-subtitle-en.srt 17KB 03 Predictive Models/021 [Activity] Polynomial Regression-subtitle-en.srt 17KB 04 Machine Learning with Python/027 [Activity] Implementing a Spam Classifier with Naive Bayes-subtitle-en.srt 17KB 10 Deep Learning and Neural Networks/076 [Activity] Using Tensorflow_ Part 1-subtitle-en.srt 16KB 04 Machine Learning with Python/028 K-Means Clustering-subtitle-en.srt 16KB 07 Dealing with Real-World Data/051 Data Cleaning and Normalization-subtitle-en.srt 16KB 05 Recommender Systems/040 [Activity] Improving the Results of Movie Similarities-subtitle-en.srt 16KB 08 Apache Spark_ Machine Learning on Big Data/056 [Activity] Installing Spark - Part 1-subtitle-en.srt 16KB 11 Final Project/087 Final project review-subtitle-en.srt 16KB 02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data-subtitle-en.srt 15KB 02 Statistics and Probability Refresher_ and Python Practise/013 Common Data Distributions-subtitle-en.srt 15KB 07 Dealing with Real-World Data/054 [Activity] Detecting outliers-subtitle-en.srt 15KB 10 Deep Learning and Neural Networks/081 [Activity] Using CNN's for handwriting recognition-subtitle-en.srt 14KB 04 Machine Learning with Python/034 Ensemble Learning-subtitle-en.srt 14KB 07 Dealing with Real-World Data/049 Bias_Variance Tradeoff-subtitle-en.srt 14KB 05 Recommender Systems/042 [Exercise] Improve the recommender's results-subtitle-en.srt 13KB 04 Machine Learning with Python/025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression-subtitle-en.srt 12KB 02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode-subtitle-en.srt 12KB 11 Final Project/086 Your final project assignment-subtitle-en.srt 12KB 06 More Data Mining and Machine Learning Techniques/045 Dimensionality Reduction; Principal Component Analysis-subtitle-en.srt 12KB 04 Machine Learning with Python/036 [Activity] Using SVM to cluster people using scikit-learn-subtitle-en.srt 11KB 04 Machine Learning with Python/029 [Activity] Clustering people based on income and age-subtitle-en.srt 11KB 02 Statistics and Probability Refresher_ and Python Practise/019 Bayes' Theorem-subtitle-en.srt 11KB 03 Predictive Models/023 Multi-Level Models-subtitle-en.srt 10KB 01 Getting Started/003 [Activity] Installing Enthought Canopy-subtitle-en.srt 9KB 04 Machine Learning with Python/035 Support Vector Machines (SVM) Overview-subtitle-en.srt 9KB 01 Getting Started/006 Running Python Scripts-subtitle-en.srt 9KB 06 More Data Mining and Machine Learning Techniques/043 K-Nearest-Neighbors_ Concepts-subtitle-en.srt 9KB 04 Machine Learning with Python/026 Bayesian Methods_ Concepts-subtitle-en.srt 8KB 07 Dealing with Real-World Data/053 Normalizing numerical data-subtitle-en.srt 7KB 02 Statistics and Probability Refresher_ and Python Practise/012 Probability Density Function; Probability Mass Function-subtitle-en.srt 7KB 12 You made it!/088 More to Explore-subtitle-en.srt 7KB 04 Machine Learning with Python/030 Measuring Entropy-subtitle-en.srt 7KB 01 Getting Started/001 Introduction-subtitle-en.srt 5KB 01 Getting Started/002 [Activity] Getting What You Need-subtitle-en.srt 5KB 02 Statistics and Probability Refresher_ and Python Practise/018 Exercise Solution_ Conditional Probability of Purchase by Age-subtitle-en.srt 5KB 12 You made it!/090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!-subtitle-en.srt 5KB 10 Deep Learning and Neural Networks/085 Learning More about Deep Learning-subtitle-en.srt 3KB 04 Machine Learning with Python/031 [Activity] Install GraphViz.html 3KB 12 You made it!/089 Don't Forget to Leave a Rating!.html 2KB 08 Apache Spark_ Machine Learning on Big Data/055 Warning about Java 9!.html 2KB 01 Getting Started/external_links.txt 146B udemycoursedownloader.com.url 132B 06 More Data Mining and Machine Learning Techniques/external_links.txt 113B Udemy Course downloader.txt 94B 12 You made it!/external_links.txt 70B