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

Torrent Hash :
eb495ccbf55db854591173bd240dfde206f117ed
Content Size :
3.07 GB
Date :
2018-05-21
Short Magnet :
Short Magnet
https://0mag.biz/!jzpWgA QR code
Files ( 181 )size
08 Apache Spark_ Machine Learning on Big Data/061 [Activity] Decision Trees in Spark.mp488.24 MB
08 Apache Spark_ Machine Learning on Big Data/057 [Activity] Installing Spark - Part 2.mp485.81 MB
06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp463.56 MB
05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp463.25 MB
08 Apache Spark_ Machine Learning on Big Data/062 [Activity] K-Means Clustering in Spark.mp462.85 MB
07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp460.16 MB
08 Apache Spark_ Machine Learning on Big Data/064 [Activity] Searching Wikipedia with Spark.mp459.76 MB
06 More Data Mining and Machine Learning Techniques/044 [Activity] Using KNN to predict a rating for a movie.mp459.21 MB
06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp454.11 MB
10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp453.66 MB
06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp453.31 MB
03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp449.97 MB
02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp449.78 MB
02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp449.55 MB
02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp449.28 MB
10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp449.01 MB
05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp448.48 MB
04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp447.8 MB
07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp445.87 MB
05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp445.85 MB
02 Statistics and Probability Refresher_ and Python Practise/011 [Activity] Variation and Standard Deviation.mp445.62 MB
12 You made it!/088 More to Explore.mp445.14 MB
08 Apache Spark_ Machine Learning on Big Data/056 [Activity] Installing Spark - Part 1.mp444.24 MB
05 Recommender Systems/040 [Activity] Improving the Results of Movie Similarities.mp443.98 MB
01 Getting Started/004 Python Basics_ Part 1.mp443.97 MB
09 Experimental Design/070 A_B Test Gotchas.mp443.78 MB
01 Getting Started/007 Introducing the Pandas Library.mp443.34 MB
02 Statistics and Probability Refresher_ and Python Practise/014 [Activity] Percentiles and Moments.mp442.98 MB
09 Experimental Design/066 A_B Testing Concepts.mp442.69 MB
01 Getting Started/003 [Activity] Installing Enthought Canopy.mp440.51 MB
09 Experimental Design/068 [Activity] Hands-on With T-Tests.mp440.06 MB
04 Machine Learning with Python/032 Decision Trees_ Concepts.mp439.72 MB
07 Dealing with Real-World Data/054 [Activity] Detecting outliers.mp439.04 MB
02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python.mp438.99 MB
04 Machine Learning with Python/033 [Activity] Decision Trees_ Predicting Hiring Decisions.mp438.23 MB
05 Recommender Systems/037 User-Based Collaborative Filtering.mp436.81 MB
04 Machine Learning with Python/027 [Activity] Implementing a Spam Classifier with Naive Bayes.mp436.48 MB
08 Apache Spark_ Machine Learning on Big Data/059 Spark and the Resilient Distributed Dataset (RDD).mp436.41 MB
06 More Data Mining and Machine Learning Techniques/045 Dimensionality Reduction; Principal Component Analysis.mp435.67 MB
10 Deep Learning and Neural Networks/077 [Activity] Using Tensorflow_ Part 2.mp434.22 MB
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp434.11 MB
10 Deep Learning and Neural Networks/078 [Activity] Introducing Keras.mp433.83 MB
04 Machine Learning with Python/034 Ensemble Learning.mp433.7 MB
05 Recommender Systems/038 Item-Based Collaborative Filtering.mp433.56 MB
03 Predictive Models/020 [Activity] Linear Regression.mp432.97 MB
08 Apache Spark_ Machine Learning on Big Data/058 Spark Introduction.mp432.46 MB
08 Apache Spark_ Machine Learning on Big Data/063 TF _ IDF.mp432.2 MB
07 Dealing with Real-World Data/051 Data Cleaning and Normalization.mp431.9 MB
07 Dealing with Real-World Data/049 Bias_Variance Tradeoff.mp431.23 MB
08 Apache Spark_ Machine Learning on Big Data/065 [Activity] Using the Spark 2_0 DataFrame API for MLLib.mp430.53 MB

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