Все публикации

0:12:42

Regularization Explanation with Code Tutorial 📈 Regularization Techniques in Machine Learning 🔧📈

0:03:33

How to use SQL in Jupyter Notebook or Google Colab💻📊

0:04:12

Which Model to CHOOSE? Overfitting, Underfitting, Bias-Variance Tradeoff in Machine Learning 🎯

0:22:45

Linear Regression Explanation with Code Tutorial 📈

0:42:59

🔍 SQL in ONE Video | The Ultimate SQL Tutorial in Hindi 🔍 SQL for Data Analysis 🔍 SQL Full Course

0:27:26

🍽️Restaurant Customer Satisfaction : SMOTE, Decision Tree, GridSearchCV , Imbalanced Data🤖

0:59:58

🎥 Build a Web Series Recommendation Engine with Streamlit and Nearest Neighbors 📊

0:34:38

🏏 Predicting T20 Cricket Win Probability Using Best Machine Learning Algorithm Logistic Regression🤖

0:30:12

📱Predicting Smartphone Prices Using Best Machine Learning Algorithm : Random Forest 📈

0:39:39

🐍 Python in ONE Video : The Ultimate Python Tutorial in Hindi 🐍

0:39:32

🐍 Python in ONE Video : The Ultimate Python Tutorial 🐍

0:05:19

🐍Master LAMBDA FUNCTION and HIGHER ORDER FUNCTION in Python🐍 Python in Hindi

0:05:51

🐍 Mastering Python Functions in HINDI: Unveiling the Power of Debugging with a Secret Tool! 🛠️

0:08:51

🚀How to become a PRO using LIST Comprehensions in Hindi ! (Everything you need to know about LISTS)🚀

0:03:02

Break & Continue in Python Loops in Hindi (Don't miss this if you are confused!)

0:05:59

For & While Loop in Python (in Hindi)

0:06:15

Master IF-ELSE Conditional statements in Python (Hindi)

0:10:00

Python Basics & Essentials (Hindi)

0:07:25

What Is Python and It's Data Types? (in Hindi) - Non Techie

0:03:47

📊Univariate Analysis : Exploring Data Trends and Patterns📈

0:04:29

📊Stunning Bar Charts ! Mastering Data Visualization with Matplotlib & Seaborn 📈

0:05:05

📊Stunning Scatter Plots ! Mastering Data Visualization with Matplotlib & Seaborn 📈

0:06:44

📊Stunning Line Plots ! Mastering Data Visualization with Matplotlib and Seaborn 📈

0:08:16

🐼 Unleash the Power of GroupBy in Pandas 🤝 Data Aggregation and Analysis! 📊