FreeCourseLab com Udemy Machine Learning Data Science and Deep Learning with Python

FreeCourseLab com Udemy Machine Learning Data Science and Deep Learning with Python

Name	[FreeCourseLab.com] Udemy - Machine Learning, Data Science and Deep Learning with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.9 GB
Total Files	188
Last Seen	2025-11-11 00:17
Hash	29F6A107892304CE88E97CDFD00E87C24F5FADB6

/1. Getting Started/
1. Introduction.mp4	62.5 MB
1. Introduction.vtt	4.3 KB
2. Udemy 101 Getting the Most From This Course.mp4	20.7 MB
2. Udemy 101 Getting the Most From This Course.vtt	3.6 KB
3. [Activity] Getting What You Need.mp4	29.4 MB
3. [Activity] Getting What You Need.vtt	4.3 KB
3.1 Course Facebook Group.html	0.1 KB
3.2 Course materials and setup steps.html	0.1 KB
4. [Activity] Installing Enthought Canopy.mp4	114.3 MB
4. [Activity] Installing Enthought Canopy.vtt	12.7 KB
4.1 Enthought Canopy website.html	0.1 KB
5. Python Basics, Part 1 [Optional].mp4	140.3 MB
5. Python Basics, Part 1 [Optional].vtt	32.9 KB
6. [Activity] Python Basics, Part 2 [Optional].mp4	81.0 MB
6. [Activity] Python Basics, Part 2 [Optional].vtt	19.4 KB
7. Running Python Scripts [Optional].mp4	46.9 MB
7. Running Python Scripts [Optional].vtt	8.4 KB
8. Introducing the Pandas Library [Optional].mp4	134.1 MB
8. Introducing the Pandas Library [Optional].vtt	16.1 KB
/10. Deep Learning and Neural Networks/
1. Deep Learning Pre-Requisites.mp4	71.2 MB
1. Deep Learning Pre-Requisites.vtt	17.6 KB
10. Convolutional Neural Networks (CNN's).mp4	97.6 MB
10. Convolutional Neural Networks (CNN's).vtt	18.0 KB
11. [Activity] Using CNN's for handwriting recognition.mp4	84.7 MB
11. [Activity] Using CNN's for handwriting recognition.vtt	16.7 KB
12. Recurrent Neural Networks (RNN's).mp4	72.5 MB
12. Recurrent Neural Networks (RNN's).vtt	16.7 KB
13. [Activity] Using a RNN for sentiment analysis.mp4	99.4 MB
13. [Activity] Using a RNN for sentiment analysis.vtt	21.2 KB
14. The Ethics of Deep Learning.mp4	134.5 MB
14. The Ethics of Deep Learning.vtt	17.9 KB
15. Learning More about Deep Learning.mp4	40.5 MB
15. Learning More about Deep Learning.vtt	2.8 KB
2. The History of Artificial Neural Networks.mp4	83.9 MB
2. The History of Artificial Neural Networks.vtt	17.2 KB
3. [Activity] Deep Learning in the Tensorflow Playground.mp4	148.5 MB
3. [Activity] Deep Learning in the Tensorflow Playground.vtt	17.5 KB
4. Deep Learning Details.mp4	67.3 MB
4. Deep Learning Details.vtt	15.2 KB
5. Introducing Tensorflow.mp4	101.1 MB
5. Introducing Tensorflow.vtt	20.2 KB
6. [Activity] Using Tensorflow, Part 1.mp4	107.3 MB
6. [Activity] Using Tensorflow, Part 1.vtt	19.8 KB
7. [Activity] Using Tensorflow, Part 2.mp4	140.1 MB
7. [Activity] Using Tensorflow, Part 2.vtt	19.9 KB
8. [Activity] Introducing Keras.mp4	112.7 MB
8. [Activity] Introducing Keras.vtt	29.3 KB
9. [Activity] Using Keras to Predict Political Affiliations.mp4	109.4 MB
9. [Activity] Using Keras to Predict Political Affiliations.vtt	26.7 KB
/11. Final Project/
1. Your final project assignment.mp4	61.8 MB
1. Your final project assignment.vtt	10.4 KB
2. Final project review.mp4	103.3 MB
2. Final project review.vtt	22.7 KB
/12. You made it!/
1. More to Explore.mp4	67.2 MB
1. More to Explore.vtt	6.8 KB
2. Don't Forget to Leave a Rating!.html	0.6 KB
3. Bonus Lecture Discounts to continue your journey!.html	7.6 KB
/2. Statistics and Probability Refresher, and Python Practise/
1. Types of Data.mp4	81.0 MB
1. Types of Data.vtt	15.0 KB
10. [Exercise] Conditional Probability.mp4	136.7 MB
10. [Exercise] Conditional Probability.vtt	23.8 KB
11. Exercise Solution Conditional Probability of Purchase by Age.mp4	30.1 MB
11. Exercise Solution Conditional Probability of Purchase by Age.vtt	4.6 KB
12. Bayes' Theorem.mp4	61.8 MB
12. Bayes' Theorem.vtt	10.7 KB
2. Mean, Median, Mode.mp4	58.9 MB
2. Mean, Median, Mode.vtt	12.0 KB
3. [Activity] Using mean, median, and mode in Python.mp4	97.2 MB
3. [Activity] Using mean, median, and mode in Python.vtt	16.9 KB
4. [Activity] Variation and Standard Deviation.mp4	116.2 MB
4. [Activity] Variation and Standard Deviation.vtt	23.8 KB
5. Probability Density Function; Probability Mass Function.mp4	31.5 MB
5. Probability Density Function; Probability Mass Function.vtt	7.1 KB
6. Common Data Distributions.mp4	79.0 MB
6. Common Data Distributions.vtt	14.9 KB
7. [Activity] Percentiles and Moments.mp4	119.6 MB
7. [Activity] Percentiles and Moments.vtt	26.1 KB
8. [Activity] A Crash Course in matplotlib.mp4	135.6 MB
8. [Activity] A Crash Course in matplotlib.vtt	26.4 KB
9. [Activity] Covariance and Correlation.mp4	122.4 MB
9. [Activity] Covariance and Correlation.vtt	24.0 KB
/3. Predictive Models/
1. [Activity] Linear Regression.mp4	105.4 MB
1. [Activity] Linear Regression.vtt	23.7 KB
2. [Activity] Polynomial Regression.mp4	70.0 MB
2. [Activity] Polynomial Regression.vtt	16.3 KB
3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4	129.8 MB
3. [Activity] Multivariate Regression, and Predicting Car Prices.vtt	23.2 KB
4. Multi-Level Models.mp4	49.8 MB
4. Multi-Level Models.vtt	9.9 KB
/4. Machine Learning with Python/
1. Supervised vs. Unsupervised Learning, and TrainTest.mp4	103.4 MB
1. Supervised vs. Unsupervised Learning, and TrainTest.vtt	19.4 KB
10. [Activity] Decision Trees Predicting Hiring Decisions.mp4	100.6 MB
10. [Activity] Decision Trees Predicting Hiring Decisions.vtt	20.7 KB
11. Ensemble Learning.mp4	68.4 MB
11. Ensemble Learning.vtt	13.5 KB
12. Support Vector Machines (SVM) Overview.mp4	46.9 MB
12. Support Vector Machines (SVM) Overview.vtt	9.2 KB
13. [Activity] Using SVM to cluster people using scikit-learn.mp4	57.7 MB
13. [Activity] Using SVM to cluster people using scikit-learn.vtt	11.1 KB
2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4	61.0 MB
2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt	12.2 KB
3. Bayesian Methods Concepts.mp4	42.7 MB
3. Bayesian Methods Concepts.vtt	8.2 KB
4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4	93.4 MB
4. [Activity] Implementing a Spam Classifier with Naive Bayes.vtt	16.2 KB
5. K-Means Clustering.mp4	75.4 MB
5. K-Means Clustering.vtt	15.9 KB
6. [Activity] Clustering people based on income and age.mp4	60.1 MB
6. [Activity] Clustering people based on income and age.vtt	10.7 KB
7. Measuring Entropy.mp4	36.7 MB
7. Measuring Entropy.vtt	6.5 KB
8. [Activity] Install GraphViz.html	1.5 KB
9. Decision Trees Concepts.mp4	90.7 MB
9. Decision Trees Concepts.vtt	19.5 KB
/5. Recommender Systems/
1. User-Based Collaborative Filtering.mp4	90.6 MB
1. User-Based Collaborative Filtering.vtt	18.0 KB
2. Item-Based Collaborative Filtering.mp4	78.7 MB
2. Item-Based Collaborative Filtering.vtt	18.5 KB
3. [Activity] Finding Movie Similarities.mp4	113.1 MB
3. [Activity] Finding Movie Similarities.vtt	18.6 KB
4. [Activity] Improving the Results of Movie Similarities.mp4	99.5 MB
4. [Activity] Improving the Results of Movie Similarities.vtt	15.6 KB
5. [Activity] Making Movie Recommendations to People.mp4	139.0 MB
5. [Activity] Making Movie Recommendations to People.vtt	20.9 KB
6. [Exercise] Improve the recommender's results.mp4	88.3 MB
6. [Exercise] Improve the recommender's results.vtt	12.3 KB
/6. More Data Mining and Machine Learning Techniques/
1. K-Nearest-Neighbors Concepts.mp4	42.2 MB
1. K-Nearest-Neighbors Concepts.vtt	8.3 KB
2. [Activity] Using KNN to predict a rating for a movie.mp4	149.0 MB
2. [Activity] Using KNN to predict a rating for a movie.vtt	26.2 KB
3. Dimensionality Reduction; Principal Component Analysis.mp4	71.0 MB
3. Dimensionality Reduction; Principal Component Analysis.vtt	11.4 KB
4. [Activity] PCA Example with the Iris data set.mp4	115.1 MB
4. [Activity] PCA Example with the Iris data set.vtt	19.5 KB
5. Data Warehousing Overview ETL and ELT.mp4	108.4 MB
5. Data Warehousing Overview ETL and ELT.vtt	18.3 KB
6. Reinforcement Learning.mp4	138.7 MB
6. Reinforcement Learning.vtt	26.3 KB
6.1 Cat and Mouse Example.html	0.1 KB
6.2 Pac-Man Example.html	0.1 KB
6.3 Python Markov Decision Process Toolbox.html	0.1 KB
/7. Dealing with Real-World Data/
1. BiasVariance Tradeoff.mp4	69.5 MB
1. BiasVariance Tradeoff.vtt	13.4 KB
2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4	107.3 MB
2. [Activity] K-Fold Cross-Validation to avoid overfitting.vtt	22.7 KB
3. Data Cleaning and Normalization.mp4	82.6 MB
3. Data Cleaning and Normalization.vtt	15.9 KB
4. [Activity] Cleaning web log data.mp4	135.7 MB
4. [Activity] Cleaning web log data.vtt	22.0 KB
5. Normalizing numerical data.mp4	40.1 MB
5. Normalizing numerical data.vtt	7.2 KB
6. [Activity] Detecting outliers.mp4	87.7 MB
6. [Activity] Detecting outliers.vtt	14.3 KB
/8. Apache Spark Machine Learning on Big Data/
1. Warning about Java 11 and Spark 2.4!.html	0.6 KB
10. TF IDF.mp4	72.2 MB
10. TF IDF.vtt	13.0 KB
11. [Activity] Searching Wikipedia with Spark.mp4	116.9 MB
11. [Activity] Searching Wikipedia with Spark.vtt	14.3 KB
12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4	119.3 MB
12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.vtt	16.2 KB
2. Spark installation notes for MacOS and Linux users.html	3.6 KB
3. [Activity] Installing Spark - Part 1.mp4	91.6 MB
3. [Activity] Installing Spark - Part 1.vtt	15.4 KB
3.1 winutils.exe.html	0.1 KB
4. [Activity] Installing Spark - Part 2.mp4	180.7 MB
4. [Activity] Installing Spark - Part 2.vtt	26.2 KB
4.1 winutils.exe.html	0.1 KB
5. Spark Introduction.mp4	94.2 MB
5. Spark Introduction.vtt	19.6 KB
6. Spark and the Resilient Distributed Dataset (RDD).mp4	103.3 MB
6. Spark and the Resilient Distributed Dataset (RDD).vtt	22.7 KB
7. Introducing MLLib.mp4	57.4 MB
7. Introducing MLLib.vtt	10.7 KB
8. [Activity] Decision Trees in Spark.mp4	202.6 MB
8. [Activity] Decision Trees in Spark.vtt	30.1 KB
9. [Activity] K-Means Clustering in Spark.mp4	140.3 MB
9. [Activity] K-Means Clustering in Spark.vtt	20.7 KB
/9. Experimental Design/
1. AB Testing Concepts.mp4	102.2 MB
1. AB Testing Concepts.vtt	18.7 KB
2. T-Tests and P-Values.mp4	68.1 MB
2. T-Tests and P-Values.vtt	12.3 KB
3. [Activity] Hands-on With T-Tests.mp4	85.6 MB
3. [Activity] Hands-on With T-Tests.vtt	12.7 KB
4. Determining How Long to Run an Experiment.mp4	36.5 MB
4. Determining How Long to Run an Experiment.vtt	7.8 KB
5. AB Test Gotchas.mp4	100.8 MB
5. AB Test Gotchas.vtt	20.3 KB
/
[FreeCourseLab.com].url	0.1 KB
Total files 188