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In this video on Machine Learning with Python full course, you will understand the basics of machine learning and Python. In this Machine Learning tutorial for beginners, we will cover essential machine learning topics like applications of machine learning and machine learning concepts and understand why mathematics, statistics, and linear algebra are crucial. We'll also learn about regularization, dimensionality reduction, and PCA. We will perform a prediction analysis on the recently held US Elections. Finally, you will study the Machine Learning roadmap. Below are the topics covered in this video:
00:00:00 Machine Learning With Python Full Course 2023
00:08:36 Introduction to Machine Learning
00:16:14 Top 10 Applications of Machine Learning
00:32:38 Types of Machine Learning
00:37:46 Machine Learning Algorithms
00:38:14 Linear Regression
00:46:52 Decision Tree
01:23:25 Clustering
01:26:11 K-Means Clustering
02:18:03 Data and its types
03:29:22 Probability
04:07:53 Multiple Linear Regression
04:45:55 Confusion Matrices
05:59:54 KNN
06:23:40 Support Vector Machine
07:14:40 Principle Component Analysis(PCA)
07:53:01 Corona Virus Analysis
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Dataset Link -https://drive.google.com/drive/folders/15lSrc4176J9z9_3WZo_b91BaNfItc2s0
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
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1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
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