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Feature Engineering Part 2 | Feature Creation, Binning & Outlier Handling #ai #machinelearning #data
00:17:17
Feature Engineering - 1 ,Explained | Scaling, Encoding, Missing Values & Data Leakage #ai #data
00:34:08
Introduction to Evaluation Metrics | Confusion Matrix Explained #datascience #machinelearning #ai
00:23:09
Cross Validation in Machine Learning | Overfitting & Underfitting Explained #machinelearning #data
00:44:36
Balanced vs Imbalanced Data Explained | Machine Learning Concepts Made Simple
00:23:15
ML Introduction | Types of ML, Real Use Cases, Rule-Based vs ML, Instance & Model-Based Learning
00:52:46
Exploratory Data Analysis (EDA) in Python | The Bridge Between Python & Machine Learning
01:06:12
Seaborn for Data Visualization | Scatter, Line, Box Plot & Pairplot Explained | @NeuralMinds3
00:26:49
Matplotlib for Beginners | Line, Bar, Scatter, Pie & Histogram Explained with Examples
00:41:55
Pandas for Data Science | Series, DataFrame & Must-Know Basics for Beginners @NeuralMinds3
00:26:57
NumPy for Data Science & Machine Learning | Arrays, Speed, Indexing, Math & Core Concepts
00:24:34
Python Problem Solving Part 3 | Dictionary & Functions Explained with Logic and Step-by-Step Coding
00:52:59
Python Problem Solving Part 2 | Loops, Lists, Tuples & Sets Explained Step-by-Step
00:56:00
Python Problem Solving for Beginners | Practice Questions with Step-by-Step Explanation
00:49:56
Functions in Python in Detail | Definition, Syntax, Arguments, Return Values & Examples
00:15:08
🎉 Thank You for Joining the Maths Series for Data Science! 🎉
00:02:36
Chi-Square Test, ANOVA, Types of ANOVA, p-Value Explained | Inferential Statistics Part 2
00:59:32
For Loop and While Loop in Python | Iteration, Range, Nested Loops & Examples
00:36:09
Python Conditional Statements & Operators | Python for Beginners Tutorial
00:29:51
Hypothesis Testing in Statistics | p-Value, Type I & II Errors, Z-Test, t-Test, Confidence Interval
01:06:56
Continuous Probability Distributions Part 2 | Exponential, Gamma, Beta, Weibull, Cauchy
00:39:12
Python Sets & Dictionaries Explained | Learn with Examples
00:19:24
Python Tuples Explained | Learn Tuple Basics with Examples
00:17:00
Python Lists Tutorial | Learn List in Python with Examples
00:29:14
Python Strings Tutorial | Learn String Basics in Python with Examples
00:28:45
Continuous Probability Distributions: Gaussian ,Standard Normal, Z-Score, Log Normal , Pareto
00:50:07
Python Variables & Data Types Explained | Python for Beginners
00:19:19
Distribution in Discrete Random Variables | Bernoulli, Binomial,Poisson & Zipf’s Law
00:47:24
Object-Oriented Principles in Python | Python Program Life Cycle | Python OOP Basics
00:21:10
Introduction to Probability & Distributions | Statistics for Data Science
00:39:52