Machine Learning & Data Science in Python For Beginners
Learn Supervised & Unsupervised ML, Machine Learning Process, Models, Python, NumPy, Pandas, Seaborn, Data Visualisation
4.03 (54 reviews)
416
students
9 hours
content
Sep 2022
last update
$49.99
regular price
What you will learn
What is Machine Learning
Supervised Machine Learning
Unsupervised Machine Learning
Semi-Supervised Machine Learning
Types of Supervised Learning: Classification
Regression
Types of Unsupervised Learning: Clustering
Association
Data Collection
Data Preparing
Selection of a Model
Data Training and Evaluation
HPT in Machine Learning
Prediction in ML
DPP in ML
Need of DPP
Steps in DPP
Python Libraries
Missing, Encoding, and Splitting Data in ML
Python, Java, R,and C ++
How to install python and anaconda?
Interface of Jupyter Notebook
Mathematics in Python
Euler's Number and Variables
Degree into Radians and Radians into Degrees in Python
Printing Functions in Python
Feature Scaling for ML
How to Select Features for ML
Filter Method
LDA in ML
Chi Square Method
Forward Selection
Training and Testing Data Set for ML
Selection of Final Model
ML Applications
Practical Skills in ML: Mastery
Process of ML
What is Extension in ML
ML Tradeoff
ML Variance Error
Logistic Regression
Data Visualization
Pandas and Seaborn-Library for ML
Screenshots
Related Topics
4791518
udemy ID
7/20/2022
course created date
8/23/2022
course indexed date
Bot
course submited by