UdemyCourseDownloader Data Science Deep Learning Machine Learning with Python

UdemyCourseDownloader Data Science Deep Learning Machine Learning with Python

Name	[UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.3 GB
Total Files	183
Last Seen
Hash	611D37289FBFBA72188DC0B5B6EDBFA8B0B6A772

/08 Apache Spark_ Machine Learning on Big Data/
061 [Activity] Decision Trees in Spark.mp4	92.5 MB

udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
01 Getting Started/
001 Introduction-subtitle-en.srt	5.0 KB
001 Introduction.mp4	29.1 MB
002 [Activity] Getting What You Need-subtitle-en.srt	4.9 KB
002 [Activity] Getting What You Need.mp4	10.0 MB
003 [Activity] Installing Enthought Canopy-subtitle-en.srt	9.7 KB
003 [Activity] Installing Enthought Canopy.mp4	42.5 MB
004 Python Basics_ Part 1-subtitle-en.srt	34.5 KB
004 Python Basics_ Part 1.mp4	46.1 MB
005 [Activity] Python Basics_ Part 2-subtitle-en.srt	20.3 KB
005 [Activity] Python Basics_ Part 2.mp4	29.8 MB
006 Running Python Scripts-subtitle-en.srt	8.8 KB
006 Running Python Scripts.mp4	22.6 MB
007 Introducing the Pandas Library-subtitle-en.srt	18.4 KB
007 Introducing the Pandas Library.mp4	45.4 MB
external_links.txt	0.1 KB
02 Statistics and Probability Refresher_ and Python Practise/
008 Types of Data-subtitle-en.srt	15.8 KB
008 Types of Data.mp4	35.8 MB
009 Mean_ Median_ Mode-subtitle-en.srt	12.6 KB
009 Mean_ Median_ Mode.mp4	29.5 MB
010 [Activity] Using mean_ median_ and mode in Python-subtitle-en.srt	17.8 KB
010 [Activity] Using mean_ median_ and mode in Python.mp4	40.9 MB
011 [Activity] Variation and Standard Deviation-subtitle-en.srt	25.0 KB
011 [Activity] Variation and Standard Deviation.mp4	47.8 MB
012 Probability Density Function; Probability Mass Function-subtitle-en.srt	7.4 KB
012 Probability Density Function; Probability Mass Function.mp4	13.0 MB
013 Common Data Distributions-subtitle-en.srt	15.6 KB
013 Common Data Distributions.mp4	29.0 MB
014 [Activity] Percentiles and Moments-subtitle-en.srt	27.4 KB
014 [Activity] Percentiles and Moments.mp4	45.1 MB
015 [Activity] A Crash Course in matplotlib-subtitle-en.srt	27.7 KB
015 [Activity] A Crash Course in matplotlib.mp4	51.7 MB
016 [Activity] Covariance and Correlation-subtitle-en.srt	25.2 KB
016 [Activity] Covariance and Correlation.mp4	52.2 MB
017 [Exercise] Conditional Probability-subtitle-en.srt	25.1 KB
017 [Exercise] Conditional Probability.mp4	52.0 MB
018 Exercise Solution_ Conditional Probability of Purchase by Age-subtitle-en.srt	4.8 KB
018 Exercise Solution_ Conditional Probability of Purchase by Age.mp4	14.8 MB
019 Bayes' Theorem-subtitle-en.srt	11.2 KB
019 Bayes' Theorem.mp4	31.6 MB
03 Predictive Models/
020 [Activity] Linear Regression-subtitle-en.srt	24.9 KB
020 [Activity] Linear Regression.mp4	34.6 MB
021 [Activity] Polynomial Regression-subtitle-en.srt	17.1 KB
021 [Activity] Polynomial Regression.mp4	31.2 MB
022 [Activity] Multivariate Regression_ and Predicting Car Prices-subtitle-en.srt	24.3 KB
022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4	52.4 MB
023 Multi-Level Models-subtitle-en.srt	10.4 KB
023 Multi-Level Models.mp4	24.8 MB
04 Machine Learning with Python/
024 Supervised vs_ Unsupervised Learning_ and Train_Test-subtitle-en.srt	20.3 KB
024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4	50.1 MB
025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression-subtitle-en.srt	12.8 KB
025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression.mp4	23.1 MB
026 Bayesian Methods_ Concepts-subtitle-en.srt	8.6 KB
026 Bayesian Methods_ Concepts.mp4	20.4 MB
027 [Activity] Implementing a Spam Classifier with Naive Bayes-subtitle-en.srt	17.0 KB
027 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4	38.3 MB
028 K-Means Clustering-subtitle-en.srt	16.7 KB
028 K-Means Clustering.mp4	31.8 MB
029 [Activity] Clustering people based on income and age-subtitle-en.srt	11.3 KB
029 [Activity] Clustering people based on income and age.mp4	25.1 MB
030 Measuring Entropy-subtitle-en.srt	6.8 KB
030 Measuring Entropy.mp4	18.3 MB
031 [Activity] Install GraphViz.html	2.7 KB
032 Decision Trees_ Concepts-subtitle-en.srt	20.5 KB
032 Decision Trees_ Concepts.mp4	41.6 MB
033 [Activity] Decision Trees_ Predicting Hiring Decisions-subtitle-en.srt	21.8 KB
033 [Activity] Decision Trees_ Predicting Hiring Decisions.mp4	40.1 MB
034 Ensemble Learning-subtitle-en.srt	14.1 KB
034 Ensemble Learning.mp4	35.3 MB
035 Support Vector Machines (SVM) Overview-subtitle-en.srt	9.7 KB
035 Support Vector Machines (SVM) Overview.mp4	22.8 MB
036 [Activity] Using SVM to cluster people using scikit-learn-subtitle-en.srt	11.6 KB
036 [Activity] Using SVM to cluster people using scikit-learn.mp4	21.9 MB
05 Recommender Systems/
037 User-Based Collaborative Filtering-subtitle-en.srt	18.8 KB
037 User-Based Collaborative Filtering.mp4	38.6 MB
038 Item-Based Collaborative Filtering-subtitle-en.srt	19.4 KB
038 Item-Based Collaborative Filtering.mp4	35.2 MB
039 [Activity] Finding Movie Similarities-subtitle-en.srt	19.5 KB
039 [Activity] Finding Movie Similarities.mp4	50.8 MB
040 [Activity] Improving the Results of Movie Similarities-subtitle-en.srt	16.3 KB
040 [Activity] Improving the Results of Movie Similarities.mp4	46.1 MB
041 [Activity] Making Movie Recommendations to People-subtitle-en.srt	22.0 KB
041 [Activity] Making Movie Recommendations to People.mp4	66.3 MB
042 [Exercise] Improve the recommender's results-subtitle-en.srt	12.9 KB
042 [Exercise] Improve the recommender's results.mp4	48.1 MB
06 More Data Mining and Machine Learning Techniques/
043 K-Nearest-Neighbors_ Concepts-subtitle-en.srt	8.7 KB
043 K-Nearest-Neighbors_ Concepts.mp4	20.9 MB
044 [Activity] Using KNN to predict a rating for a movie-subtitle-en.srt	27.6 KB
044 [Activity] Using KNN to predict a rating for a movie.mp4	62.1 MB
045 Dimensionality Reduction; Principal Component Analysis-subtitle-en.srt	12.0 KB
045 Dimensionality Reduction; Principal Component Analysis.mp4	37.4 MB
046 [Activity] PCA Example with the Iris data set-subtitle-en.srt	20.5 KB
046 [Activity] PCA Example with the Iris data set.mp4	55.9 MB
047 Data Warehousing Overview_ ETL and ELT-subtitle-en.srt	19.2 KB
047 Data Warehousing Overview_ ETL and ELT.mp4	56.7 MB
048 Reinforcement Learning-subtitle-en.srt	27.6 KB
048 Reinforcement Learning.mp4	66.6 MB
external_links.txt	0.1 KB
07 Dealing with Real-World Data/
049 Bias_Variance Tradeoff-subtitle-en.srt	14.0 KB
049 Bias_Variance Tradeoff.mp4	32.7 MB
050 [Activity] K-Fold Cross-Validation to avoid overfitting-subtitle-en.srt	23.8 KB
050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4	48.1 MB
051 Data Cleaning and Normalization-subtitle-en.srt	16.6 KB
051 Data Cleaning and Normalization.mp4	33.5 MB
052 [Activity] Cleaning web log data-subtitle-en.srt	23.1 KB
052 [Activity] Cleaning web log data.mp4	63.1 MB
053 Normalizing numerical data-subtitle-en.srt	7.5 KB
053 Normalizing numerical data.mp4	19.9 MB
054 [Activity] Detecting outliers-subtitle-en.srt	15.0 KB
054 [Activity] Detecting outliers.mp4	40.9 MB
08 Apache Spark_ Machine Learning on Big Data/
055 Warning about Java 9!.html	1.5 KB
056 [Activity] Installing Spark - Part 1-subtitle-en.srt	16.2 KB
056 [Activity] Installing Spark - Part 1.mp4	46.4 MB
057 [Activity] Installing Spark - Part 2-subtitle-en.srt	27.5 KB
057 [Activity] Installing Spark - Part 2.mp4	90.0 MB
058 Spark Introduction-subtitle-en.srt	20.6 KB
058 Spark Introduction.mp4	34.0 MB
059 Spark and the Resilient Distributed Dataset (RDD)-subtitle-en.srt	23.8 KB
059 Spark and the Resilient Distributed Dataset (RDD).mp4	38.2 MB
060 Introducing MLLib-subtitle-en.srt	11.2 KB
060 Introducing MLLib.mp4	27.5 MB
061 [Activity] Decision Trees in Spark-subtitle-en.srt	31.6 KB
062 [Activity] K-Means Clustering in Spark-subtitle-en.srt	21.8 KB
062 [Activity] K-Means Clustering in Spark.mp4	65.9 MB
063 TF _ IDF-subtitle-en.srt	13.7 KB
063 TF _ IDF.mp4	33.8 MB
064 [Activity] Searching Wikipedia with Spark-subtitle-en.srt	15.0 KB
064 [Activity] Searching Wikipedia with Spark.mp4	62.7 MB
065 [Activity] Using the Spark 2_0 DataFrame API for MLLib-subtitle-en.srt	16.9 KB
065 [Activity] Using the Spark 2_0 DataFrame API for MLLib.mp4	32.0 MB
external_links.txt	0.1 KB
09 Experimental Design/
066 A_B Testing Concepts-subtitle-en.srt	19.6 KB
066 A_B Testing Concepts.mp4	44.8 MB
067 T-Tests and P-Values-subtitle-en.srt	12.8 KB
067 T-Tests and P-Values.mp4	31.6 MB
068 [Activity] Hands-on With T-Tests-subtitle-en.srt	13.3 KB
068 [Activity] Hands-on With T-Tests.mp4	42.0 MB
069 Determining How Long to Run an Experiment-subtitle-en.srt	8.2 KB
069 Determining How Long to Run an Experiment.mp4	17.5 MB
070 A_B Test Gotchas-subtitle-en.srt	21.3 KB
070 A_B Test Gotchas.mp4	45.9 MB
10 Deep Learning and Neural Networks/
071 Deep Learning Pre-Requisites-subtitle-en.srt	20.6 KB
071 Deep Learning Pre-Requisites.mp4	31.9 MB
072 The History of Artificial Neural Networks-subtitle-en.srt	20.2 KB
072 The History of Artificial Neural Networks.mp4	23.5 MB
073 [Activity] Deep Learning in the Tensorflow Playground-subtitle-en.srt	20.9 KB
073 [Activity] Deep Learning in the Tensorflow Playground.mp4	51.4 MB
074 Deep Learning Details-subtitle-en.srt	17.8 KB
074 Deep Learning Details.mp4	19.0 MB
075 Introducing Tensorflow-subtitle-en.srt	23.7 KB
075 Introducing Tensorflow.mp4	26.7 MB
076 [Activity] Using Tensorflow_ Part 1-subtitle-en.srt	16.8 KB
076 [Activity] Using Tensorflow_ Part 1.mp4	29.7 MB
077 [Activity] Using Tensorflow_ Part 2-subtitle-en.srt	23.5 KB
077 [Activity] Using Tensorflow_ Part 2.mp4	35.9 MB
078 [Activity] Introducing Keras-subtitle-en.srt	25.4 KB
078 [Activity] Introducing Keras.mp4	35.5 MB
079 [Activity] Using Keras to Predict Political Affiliations-subtitle-en.srt	22.2 KB
079 [Activity] Using Keras to Predict Political Affiliations.mp4	28.6 MB
080 Convolutional Neural Networks (CNN's)-subtitle-en.srt	21.0 KB
080 Convolutional Neural Networks (CNN's).mp4	25.2 MB
081 [Activity] Using CNN's for handwriting recognition-subtitle-en.srt	14.3 KB
081 [Activity] Using CNN's for handwriting recognition.mp4	23.5 MB
082 Recurrent Neural Networks (RNN's)-subtitle-en.srt	19.6 KB
082 Recurrent Neural Networks (RNN's).mp4	22.6 MB
083 [Activity] Using a RNN for sentiment analysis-subtitle-en.srt	18.2 KB
083 [Activity] Using a RNN for sentiment analysis.mp4	29.1 MB
084 The Ethics of Deep Learning-subtitle-en.srt	20.3 KB
084 The Ethics of Deep Learning.mp4	56.3 MB
085 Learning More about Deep Learning-subtitle-en.srt	3.3 KB
085 Learning More about Deep Learning.mp4	27.4 MB
11 Final Project/
086 Your final project assignment-subtitle-en.srt	12.2 KB
086 Your final project assignment.mp4	20.6 MB
087 Final project review-subtitle-en.srt	16.1 KB
087 Final project review.mp4	29.4 MB
12 You made it!/
088 More to Explore-subtitle-en.srt	7.1 KB
088 More to Explore.mp4	47.3 MB
089 Don't Forget to Leave a Rating!.html	1.7 KB
090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!-subtitle-en.srt	4.7 KB
090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!.mp4	25.5 MB
external_links.txt	0.1 KB
Total files 183