Packt Python Machine Learning Tips Tricks and Techniques | D44DC115C354EB67ED354E926964D795A38FE931

Packt Python Machine Learning Tips Tricks and Techniques

Name	Packt - Python Machine Learning Tips Tricks and Techniques	DOWNLOAD Copy Link
Total Size	795.0 MB
Total Files	25
Hash	D44DC115C354EB67ED354E926964D795A38FE931

/Exercise Files/
code_33873.zip	283.4 MB
/1.Improving Your Models Using Feature Engineering/
02.Using Feature Scaling to Standardize Data.mp4	28.0 MB
03.Implementing Feature Engineering with Logistic Regression.mp4	10.1 MB
04.Extracting Data with Feature Selection and Interaction.mp4	17.3 MB
05.Combining All Together.mp4	11.7 MB
06.Build Model Based on Real-World Problems.mp4	13.2 MB
01.The Course Overview.mp4	8.3 MB
/2.Feature Improvement with Non Linear Classification Techniques/
07.Support Vector Machines.mp4	20.7 MB
08.Implementing kNN on the Data Set.mp4	30.9 MB
09.Decision Tree as Predictive Model.mp4	24.5 MB
10.Tricks with Dimensionality Reduction.mp4	18.9 MB
11.Combining All Together.mp4	19.6 MB
/3.Power of Ensemble Learning with Python/
12.Random Forest for Classification.mp4	21.5 MB
13.Gradient Boosting Trees and Bayes Optimization.mp4	30.1 MB
14.CatBoost to Handle Categorical Data.mp4	17.9 MB
15.Implement Blending.mp4	24.4 MB
16.Implement Stacking.mp4	29.7 MB
/4.Recommender Systems/
17.Memory-Based Collaborative Filtering.mp4	19.7 MB
18.Item-to-Item Recommendation with kNN.mp4	19.3 MB
19.Applying Matrix Factorization on Datasets.mp4	24.8 MB
20.Wordbatch for Real-World Problem.mp4	19.2 MB
/5.Boost Your Overall Model Robustness/
21.Validation Dataset Tuning.mp4	14.5 MB
22.Regularizing Model to Avoid Overfitting.mp4	9.8 MB
23.Adversarial Validation.mp4	13.1 MB
24.Perform Metric Selection on Real Data.mp4	64.2 MB
Total files 25