2.46 GB | 10min 45s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -What is Machine Learning.mp4 (34.1 MB)
2 -Types of Machine Learning.mp4 (31.58 MB)
3 -Applications of Machine Learning.mp4 (66.39 MB)
4 -Tools and Libraries for Machine Learning.mp4 (65.51 MB)
1 -K-means Clustering.mp4 (46.75 MB)
2 -Hierarchical Clustering.mp4 (49.98 MB)
3 -Density-based Spatial Clustering.mp4 (48.36 MB)
4 -Gaussian Mixture Models.mp4 (67.84 MB)
1 -Introduction of Association Rule Learning.mp4 (30.58 MB)
2 -Apriori Algorithm.mp4 (51.83 MB)
3 -Eclat Algorithm.mp4 (46.49 MB)
1 -Introduction of Natural Laungage Processing (NLP).mp4 (60.83 MB)
2 -Text Preprocessing Techniques.mp4 (19.8 MB)
3 -Tokenization - Text Preprocessing.mp4 (9.09 MB)
4 -Stopword Removal - Text Preprocessing.mp4 (13.37 MB)
5 -Stemming and Lemmazation - Text Preprocessing.mp4 (18.02 MB)
6 -Bag of Words Model.mp4 (42.85 MB)
7 -Understanding TF-IDF.mp4 (54.32 MB)
8 -Sentiment Analysis.mp4 (52.87 MB)
1 -Introduction of Deep Learning.mp4 (43.84 MB)
2 -Building Neural Networks.mp4 (25.02 MB)
3 -Training Neural Networks.mp4 (55.64 MB)
4 -cnn.zip (1.66 KB)
4 -Convolutional Neural Networks(CNNs).mp4 (58.85 MB)
5 -Recurrent Neural Networks(RNNs).mp4 (60.86 MB)
6 -Keras and Tensorflow.mp4 (67.86 MB)
1 -Data Preprocessing in Machine Learning.mp4 (23.13 MB)
2 -datastructure.zip (1.54 KB)
2 -Working with Structured Data.mp4 (27.34 MB)
3 -Data Exploration.mp4 (43.4 MB)
4 -Data Visualization without Libraries.mp4 (35.08 MB)
1 -Handling Missing Data.mp4 (90.58 MB)
1 -handlingMissingData.zip (1.91 KB)
1 -Introduction.mp4 (13.99 MB)
2 -Label Encoding.mp4 (23.69 MB)
3 -One-Hot Encoding.mp4 (29.74 MB)
4 -Encoding Techniques for High Cardinality.mp4 (4.86 MB)
5 -Target Encoding.mp4 (27.12 MB)
6 -Frequency Encoding.mp4 (28.69 MB)
7 -Hash Encoding.mp4 (33.74 MB)
8 -Key Insight.mp4 (18.04 MB)
1 -Feature Scaling.mp4 (50.31 MB)
1 -introduction Feature Engineering.mp4 (28.71 MB)
2 -Filter Methods.mp4 (37.02 MB)
3 -Wrapper Methods.mp4 (16.97 MB)
4 -Embedded Methods.mp4 (15.74 MB)
1 -Data Splitting Techniques.mp4 (4.83 MB)
2 -Training and Testing sets.mp4 (19.35 MB)
3 -Cross-validation techniques.mp4 (21.5 MB)
1 -Introduction of Regression.mp4 (26.84 MB)
2 -Simple Linear Regression.mp4 (39.38 MB)
3 -Multiple Linear Regression.mp4 (55.8 MB)
4 -Polynomial Regression.mp4 (33.18 MB)
5 -Support Vector Regression (SVR).mp4 (59.46 MB)
6 -Decision Tree Regression.mp4 (67.07 MB)
7 -Random Forest Regression.mp4 (69.72 MB)
1 -Introduction of Classification Techniques.mp4 (25.68 MB)
2 -Binary Logistic Regression.mp4 (31.67 MB)
3 -Multiclass Logistic Regression.mp4 (29.77 MB)
4 -K-Nearest Neighbors.mp4 (46.53 MB)
5 -Support Vector Machines.mp4 (42.15 MB)
6 -Naive Bayes.mp4 (65.53 MB)
7 -Decision Trees For Classification.mp4 (60.22 MB)
8 -Random Forest.mp4 (67.04 MB)
9 -Boosting Algorithms.mp4 (87.4 MB)
9 -boostingAlgorithm.zip (2.9 KB)]
Screenshot
TurboBit
RapidGator
Feel free to post your Master Machine Learning And AI with Python Free Download, torrent, subtitles, free download, quality, NFO, Dangerous Master Machine Learning And AI with Python Torrent Download, free premium downloads movie, game, mp3 download, crack, serial, keygen.