Published 1/2023
Created by Laxmi Kant
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 124 Lectures ( 14h 9m ) | Size: 4.93 GB
Hands-on Projects using Machine Learning, Deep Learning (TensorFlow + Keras), CNN, LSTM, GRU, FastText in Python
What you’ll learn
How to create feature set from raw data
How to handle large features
How to generate meaningful features
How to Select best performing features
Requirements
Basics of python
Elementary mathematics
Desire to learn
Description
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. Sentiment Prediction3. Emotion Prediction4. Amazon 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 engineering 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 time variablesHow to work with different time 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:Beginners python programmers.Beginners 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.
Who this course is for
Data Scientist Beginners
Data Engineers
Machine Learning Experts
Data Analytics
Homepage
https://www.udemy.com/course/python-for-machine-learning-and-data-science-projects/
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