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Gate Smashers
Machine Learning
917,071 views
38 items
Last updated on May 10, 2024
public playlist
Learn Machine Learning from Basic to Advanced With Maths & Stats
Gate Smashers
8:24
Lec-1: Introduction to Data Science & ML | Roadmap to Learn Data Science & ML
Gate Smashers
8:50
Lec-2: Supervised Learning Algorithms | Machine Learning
Gate Smashers
7:19
Lec-3: Introduction to Regression with Real Life Examples
Gate Smashers
11:01
Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation
Gate Smashers
10:01
Lec-5: Logistic Regression with Simplest & Easiest Example | Machine Learning
Gate Smashers
4:37
Lec-6: Linear Regression Vs. Logistic Regression | Supervised Learning | Machine Learning
Gate Smashers
10:13
Lec-7: kNN Classification with Real Life Example | Movie Imdb Example | Supervised Learning
Gate Smashers
13:31
Lec-8: Naive Bayes Classification Full Explanation with examples | Supervised Learning
Gate Smashers
6:07
Lec-9: Introduction to Decision Tree 🌲 with Real life examples
Gate Smashers
16:38
Lec-10: Decision Tree 🌲 ID3 Algorithm with Example & Calculations 🧮
Gate Smashers
6:23
Conditional Probability with Easiest Explanation & Example
Gate Smashers
5:58
Introduction to Ensemble Learning with Real Life Examples | Machine⚙️ Learning
Gate Smashers
7:51
K-mean Clustering with Numerical Example | Unsupervised Learning | Machine🖥️ Learning 🙇♂️🙇
Gate Smashers
6:06
Hierarchical Clustering | Agglomerative vs Divisive with examples
Gate Smashers
6:16
Single Linkage Clustering | Agglomerative Clustering | Hierarchical Clustering
Gate Smashers
9:05
Complete Linkage⛓️ Clustering with Example | Clustering in Unsupervised Learning | ML
Gate Smashers
11:53
K-medoids Clustering with Numerical Example | Machine Learning
Gate Smashers
8:33
Random Forest 🌳 in Machine Learning 🧑💻👩💻
Gate Smashers
7:21
kNN for Classified & Regression with Easiest Explanation | Machine Learning 🤖🙇
Gate Smashers
7:41
Mean, Median, Mode with Real Life examples | Machine Learning
Gate Smashers
8:16
Standard Deviation & Variance with Examples
Gate Smashers
4:56
Bagging/Bootstrap Aggregating in Machine Learning with examples
Gate Smashers
7:31
Supervised vs Unsupervised learning with real life example
Gate Smashers
0:48
Python code for Mean, Median, Mode, SD, Variance and Range
Gate Smashers
6:48
How Weights are Increased in Boosting | Ensemble Learning
Gate Smashers
6:21
BAGGING vs. BOOSTING vs STACKING in Ensemble Learning | Machine Learning
Gate Smashers
7:16
Bayes Theorem & Total Probability with Examples
Gate Smashers
6:51
Cross Validation in Machine Learning with Examples
Gate Smashers
7:38
Pearson's Correlation Coefficient | Supervised Learning | Data Science & Machine Learning
Gate Smashers
9:08
kNN(k Nearest Neighbour) Numerical Example | Supervised Learning | Machine Learning
Gate Smashers
6:57
Decision Tree 🌳 Example | Calculate Entropy, Information ℹ️ Gain | Supervised Learning
Gate Smashers
6:52
Single Linkage Clustering Example | Unsupervised Learning | Machine Learning
Gate Smashers
7:09
Token & Parameters in LLama3 META Models | 8B & 70B Parameters Model | GPT model
Gate Smashers
5:53
What is Data Preprocessing & Data Cleaning | Various Techniques with Example
Gate Smashers
9:27
How to Deal with Missing Values in DataSet | Data Preprocessing & Data Cleaning 🧹 Imputation Methods
Gate Smashers
7:51
kNN Imputation with Examples | Data Preprocessing and Data Cleaning 🧹
Gate Smashers
6:36
Fit() & Transform() Method | Data Preprocessing | Machine Learning
Gate Smashers
9:21
Feature Extraction in Data preprocessing | Machine Learning