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Hindi Video Tutorial
MACHINE LEARNING FOR DATA SCIENCE TUTORIAL VIDEOS HINDI
MACHINE LEARNING FOR DATA SCIENCE TUTORIAL VIDEOS HINDI
Curriculum
3 Sections
35 Lessons
1 Week
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MACHINE LEARNING FOR DATA SCIENCE
6
1.1
what is machine Learning and its implementation
1.2
Why use Pandas for Machine Learning?
1.3
Exploring Data with Series in PYTHON
1.4
Explore properties of Series in Pandas Python for Machine Learning
1.5
Practical Use of Properties in Series in Pandas
1.6
Mastering Pandas Series: Essential Functions for Data Analysis
Introduction to DataFrame
29
2.1
Introduction to Dataframe in Pandas for Machine Learning
2.2
Data Analysis with Pandas: Slicing Columns and Basic DataFrame Commands
2.3
Data Analysis with Pandas: Creating DataFrames from CSV and Excel Files
2.4
How to Create Clipboard in dataframe Pandas for Machine learning
2.5
Sorting in dataframe in Pandas for Machine Learning
2.6
How to Use Duplicate in Pandas for Machine Learning | Data Cleaning with Pandas”
2.7
Data Frame Slicing in Pandas on CSV or Excel File | Data Analytics with Python”
2.8
Mastering WHERE Clause in Pandas (Python) – Filter, Select, and Manipulate Data with Precision!
2.9
Mastering Group By in Pandas for Data Analysis
2.10
Concatenate Two Sheets in Excel Using Pandas DataFrame for Data Analysis in Python
2.11
Mastering Join in Pandas Python: Unlocking Advanced Techniques
2.12
Efficient Data Manipulation in Pandas: Insert, Update, and Delete Rows in Python
2.13
Effortless Data Analysis: Pandas DataFrame Column Updates, Inserts, and Deletions
2.14
Pandas : A Deep Dive into Data Enrichment and Cleaning
2.15
Unleashing the Power of Data Analytics: Mastering Pandas and Pivot Tables
2.16
Top and Bottom Analysis: Using Pandas to Find the Highest and Lowest Values in Your Data
2.17
Pandas Tutorial: DataFrame में Date से Month, Year, और Weekday निकालना सीखें | Hindi
2.18
Pandas Quiz
50 Minutes
50 Questions
2.19
Python Full Course for Data Analytics | Beginner to Advanced | Complete Tutorial in Hindi
2.20
Machine Learning Tutorial 1: What It Is and Why It Matters
2.21
Machine Learning Tutorial 2: Supervised Learning vs Unsupervised Learning: Key Differences
2.22
Machine Learning Tutorial 3 : Understanding Train Data and Test Data
2.23
Machine Learning Tutorial 4: :Beginner’s Guide to Predictive Modelling: Linear Regression i
2.24
Machine Learning Tutorial 5: Using Multiple Variables in Machine Learning for Linear Regression
2.25
Machine Learning Tutorial 6 : -Polynomial Regression Explained with Python
2.26
Machine Learning Tutorial 7: Master Logistic Regression in Machine Learning 📈
2.27
Machine Learning Tutorial 8: Logistic Regression for Multi-Class Classification Easy Explanation
2.28
🔍 Machine Learning Tutorial 9: Understanding Decision Trees| Classification Made Simple 🌳
2.29
Machine Learning Tutorial 10 : Random Forest Classification Explained |
End to End Project in Pandas
1
3.1
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