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[FreeTutorials Us] Udemy - data-science-and-machine-learning-with-python-hands-on
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Torrent Files List
01 Getting Started (Size: 3.07 GB) (Files: 181)
01 Getting Started
001 Introduction.mp4
001 Introduction-subtitle-en.srt
002 [Activity] Getting What You Need.mp4
002 [Activity] Getting What You Need-subtitle-en.srt
003 [Activity] Installing Enthought Canopy.mp4
003 [Activity] Installing Enthought Canopy-subtitle-en.srt
004 Python Basics_ Part 1.mp4
004 Python Basics_ Part 1-subtitle-en.srt
005 [Activity] Python Basics_ Part 2.mp4
005 [Activity] Python Basics_ Part 2-subtitle-en.srt
006 Running Python Scripts.mp4
006 Running Python Scripts-subtitle-en.srt
007 Introducing the Pandas Library.mp4
007 Introducing the Pandas Library-subtitle-en.srt
external_links.txt
02 Statistics and Probability Refresher_ and Python Practise
008 Types of Data.mp4
008 Types of Data-subtitle-en.srt
009 Mean_ Median_ Mode.mp4
009 Mean_ Median_ Mode-subtitle-en.srt
010 [Activity] Using mean_ median_ and mode in Python.mp4
010 [Activity] Using mean_ median_ and mode in Python-subtitle-en.srt
011 [Activity] Variation and Standard Deviation.mp4
011 [Activity] Variation and Standard Deviation-subtitle-en.srt
012 Probability Density Function; Probability Mass Function.mp4
012 Probability Density Function; Probability Mass Function-subtitle-en.srt
013 Common Data Distributions.mp4
013 Common Data Distributions-subtitle-en.srt
014 [Activity] Percentiles and Moments.mp4
014 [Activity] Percentiles and Moments-subtitle-en.srt
015 [Activity] A Crash Course in matplotlib.mp4
015 [Activity] A Crash Course in matplotlib-subtitle-en.srt
016 [Activity] Covariance and Correlation.mp4
016 [Activity] Covariance and Correlation-subtitle-en.srt
017 [Exercise] Conditional Probability.mp4
017 [Exercise] Conditional Probability-subtitle-en.srt
018 Exercise Solution_ Conditional Probability of Purchase by Age.mp4
018 Exercise Solution_ Conditional Probability of Purchase by Age-subtitle-en.srt
019 Bayes' Theorem.mp4
019 Bayes' Theorem-subtitle-en.srt
03 Predictive Models
020 [Activity] Linear Regression.mp4
020 [Activity] Linear Regression-subtitle-en.srt
021 [Activity] Polynomial Regression.mp4
021 [Activity] Polynomial Regression-subtitle-en.srt
022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4
022 [Activity] Multivariate Regression_ and Predicting Car Prices-subtitle-en.srt
023 Multi-Level Models.mp4
023 Multi-Level Models-subtitle-en.srt
04 Machine Learning with Python
024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4
024 Supervised vs_ Unsupervised Learning_ and Train_Test-subtitle-en.srt
025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression.mp4
025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression-subtitle-en.srt
026 Bayesian Methods_ Concepts.mp4
026 Bayesian Methods_ Concepts-subtitle-en.srt
027 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4
027 [Activity] Implementing a Spam Classifier with Naive Bayes-subtitle-en.srt
028 K-Means Clustering.mp4
028 K-Means Clustering-subtitle-en.srt
029 [Activity] Clustering people based on income and age.mp4
029 [Activity] Clustering people based on income and age-subtitle-en.srt
030 Measuring Entropy.mp4
030 Measuring Entropy-subtitle-en.srt
031 [Activity] Install GraphViz.html
032 Decision Trees_ Concepts.mp4
032 Decision Trees_ Concepts-subtitle-en.srt
033 [Activity] Decision Trees_ Predicting Hiring Decisions.mp4
033 [Activity] Decision Trees_ Predicting Hiring Decisions-subtitle-en.srt
034 Ensemble Learning.mp4
034 Ensemble Learning-subtitle-en.srt
035 Support Vector Machines (SVM) Overview.mp4
035 Support Vector Machines (SVM) Overview-subtitle-en.srt
036 [Activity] Using SVM to cluster people using scikit-learn.mp4
036 [Activity] Using SVM to cluster people using scikit-learn-subtitle-en.srt
05 Recommender Systems
037 User-Based Collaborative Filtering.mp4
037 User-Based Collaborative Filtering-subtitle-en.srt
038 Item-Based Collaborative Filtering.mp4
038 Item-Based Collaborative Filtering-subtitle-en.srt
039 [Activity] Finding Movie Similarities.mp4
039 [Activity] Finding Movie Similarities-subtitle-en.srt
040 [Activity] Improving the Results of Movie Similarities.mp4
040 [Activity] Improving the Results of Movie Similarities-subtitle-en.srt
041 [Activity] Making Movie Recommendations to People.mp4
041 [Activity] Making Movie Recommendations to People-subtitle-en.srt
042 [Exercise] Improve the recommender's results.mp4
042 [Exercise] Improve the recommender's results-subtitle-en.srt
06 More Data Mining and Machine Learning Techniques
043 K-Nearest-Neighbors_ Concepts.mp4
043 K-Nearest-Neighbors_ Concepts-subtitle-en.srt
044 [Activity] Using KNN to predict a rating for a movie.mp4
044 [Activity] Using KNN to predict a rating for a movie-subtitle-en.srt
045 Dimensionality Reduction; Principal Component Analysis.mp4
045 Dimensionality Reduction; Principal Component Analysis-subtitle-en.srt
046 [Activity] PCA Example with the Iris data set.mp4
046 [Activity] PCA Example with the Iris data set-subtitle-en.srt
047 Data Warehousing Overview_ ETL and ELT.mp4
047 Data Warehousing Overview_ ETL and ELT-subtitle-en.srt
048 Reinforcement Learning.mp4
048 Reinforcement Learning-subtitle-en.srt
external_links.txt
07 Dealing with Real-World Data
049 Bias_Variance Tradeoff.mp4
049 Bias_Variance Tradeoff-subtitle-en.srt
050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4
050 [Activity] K-Fold Cross-Validation to avoid overfitting-subtitle-en.srt
051 Data Cleaning and Normalization.mp4
051 Data Cleaning and Normalization-subtitle-en.srt
052 [Activity] Cleaning web log data.mp4
052 [Activity] Cleaning web log data-subtitle-en.srt
053 Normalizing numerical data.mp4
053 Normalizing numerical data-subtitle-en.srt
054 [Activity] Detecting outliers.mp4
054 [Activity] Detecting outliers-subtitle-en.srt
08 Apache Spark_ Machine Learning on Big Data
055 Warning about Java 9!.html
056 [Activity] Installing Spark - Part 1.mp4
056 [Activity] Installing Spark - Part 1-subtitle-en.srt
057 [Activity] Installing Spark - Part 2.mp4
057 [Activity] Installing Spark - Part 2-subtitle-en.srt
058 Spark Introduction.mp4
058 Spark Introduction-subtitle-en.srt
059 Spark and the Resilient Distributed Dataset (RDD).mp4
059 Spark and the Resilient Distributed Dataset (RDD)-subtitle-en.srt
060 Introducing MLLib.mp4
060 Introducing MLLib-subtitle-en.srt
061 [Activity] Decision Trees in Spark.mp4
061 [Activity] Decision Trees in Spark-subtitle-en.srt
062 [Activity] K-Means Clustering in Spark.mp4
062 [Activity] K-Means Clustering in Spark-subtitle-en.srt
063 TF _ IDF.mp4
063 TF _ IDF-subtitle-en.srt
064 [Activity] Searching Wikipedia with Spark.mp4
064 [Activity] Searching Wikipedia with Spark-subtitle-en.srt
065 [Activity] Using the Spark 2_0 DataFrame API for MLLib.mp4
065 [Activity] Using the Spark 2_0 DataFrame API for MLLib-subtitle-en.srt
external_links.txt
09 Experimental Design
066 A_B Testing Concepts.mp4
066 A_B Testing Concepts-subtitle-en.srt
067 T-Tests and P-Values.mp4
067 T-Tests and P-Values-subtitle-en.srt
068 [Activity] Hands-on With T-Tests.mp4
068 [Activity] Hands-on With T-Tests-subtitle-en.srt
069 Determining How Long to Run an Experiment.mp4
069 Determining How Long to Run an Experiment-subtitle-en.srt
070 A_B Test Gotchas.mp4
070 A_B Test Gotchas-subtitle-en.srt
10 Deep Learning and Neural Networks
071 Deep Learning Pre-Requisites.mp4
071 Deep Learning Pre-Requisites-subtitle-en.srt
072 The History of Artificial Neural Networks.mp4
072 The History of Artificial Neural Networks-subtitle-en.srt
073 [Activity] Deep Learning in the Tensorflow Playground.mp4
073 [Activity] Deep Learning in the Tensorflow Playground-subtitle-en.srt
074 Deep Learning Details.mp4
074 Deep Learning Details-subtitle-en.srt
075 Introducing Tensorflow.mp4
075 Introducing Tensorflow-subtitle-en.srt
076 [Activity] Using Tensorflow_ Part 1.mp4
076 [Activity] Using Tensorflow_ Part 1-subtitle-en.srt
077 [Activity] Using Tensorflow_ Part 2.mp4
077 [Activity] Using Tensorflow_ Part 2-subtitle-en.srt
078 [Activity] Introducing Keras.mp4
078 [Activity] Introducing Keras-subtitle-en.srt
079 [Activity] Using Keras to Predict Political Affiliations.mp4
079 [Activity] Using Keras to Predict Political Affiliations-subtitle-en.srt
080 Convolutional Neural Networks (CNN's).mp4
080 Convolutional Neural Networks (CNN's)-subtitle-en.srt
081 [Activity] Using CNN's for handwriting recognition.mp4
081 [Activity] Using CNN's for handwriting recognition-subtitle-en.srt
082 Recurrent Neural Networks (RNN's).mp4
082 Recurrent Neural Networks (RNN's)-subtitle-en.srt
083 [Activity] Using a RNN for sentiment analysis.mp4
083 [Activity] Using a RNN for sentiment analysis-subtitle-en.srt
084 The Ethics of Deep Learning.mp4
084 The Ethics of Deep Learning-subtitle-en.srt
085 Learning More about Deep Learning.mp4
085 Learning More about Deep Learning-subtitle-en.srt
11 Final Project
086 Your final project assignment.mp4
086 Your final project assignment-subtitle-en.srt
087 Final project review.mp4
087 Final project review-subtitle-en.srt
12 You made it!
088 More to Explore.mp4
088 More to Explore-subtitle-en.srt
089 Don't Forget to Leave a Rating!.html
090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!.mp4
090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!-subtitle-en.srt
external_links.txt
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