Published 1/2023Created by Laxmi KantMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 124 Lectures ( 14h 9m ) | Size: 4.93 GB
How to create feature set from raw data How to handle large features How to generate meaningful features How to Select best perfog features Basics of python Elementary mathematics Desire to learn Modules1. Python + Numpy + Pandas + Matplotlib + Seaborn Recap2. Regression3. Logistic Regression4. SVM5. Decision Tree6. Random Forest6. XGBoost7. PCA + LDA8. All Together + Optimization9. Model Deployment with Flask10. Introduction to Deep Learning11. ANN12 CNN13 Age Prediction14 Plant Disease15 News Generation 16. Transfer Learning17. BitCoin Price PredictionIntroduction to Natural Language Processing1. Spam vs Ham2. Sennt Prediction3. Emotion Prediction4. Star Rating PredictionIntroduction to Unsupervised Machine Learning1. K-Means Clustering2. Document Grouping 3. Similar Document ExtractionWhat will you learn?I have put together a fantastic collection of feature eeering techniques, based on scientific articles, white papers, data science competitions, and of course my own experience as a data scientist.Specifically, you will learn:How to impute your missing dataHow to encode your categorical variablesHow to transform your numerical variables so they meet ML model assumptionsHow to convert your numerical variables into discrete intervalsHow to remove outliersHow to handle date and variablesHow to work with different zonesHow to handle mixed variables which contain strings and numbersAre there any course requirements or prerequisites?No introductory skill level of Python programming requiredHave a computer (either Mac, Windows, or Linux)Desire to learn!Who this course is for:Bners python programmers.Bners Data Science programmers.Students of Data Science and Machine Learning.Anyone interested in learning more about python, data science, or data visualizations.Anyone interested about the rapidly expanding world of data science!Developers who want to work in analytics and visualization project.Anyone who wants to explore and understand data before applying machine learning. Data Scientist Bners Data Eeers Machine Learning Experts Data Analytics HomePage: gfxtra__2023_Pytho.part1.rar.html gfxtra__2023_Pytho.part2.rar.html gfxtra__2023_Pytho.part3.rar.html 
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