Welcome to the Super Data Science YouTube channel!

We focus on teaching foundational concepts of machine learning and data science in a way that is accessible and engaging for learners of all levels.
Our lessons cover many topics, including linear regression, logistic regression, and other classification algorithms, clustering, neural networks, deep learning, and even artificial intelligence.

We believe that having a solid foundation in these concepts is essential for anyone looking to get started with machine learning and data science. We aim to help you build that foundation through clear explanations and practical examples.

So if you’re interested in learning about machine learning and data science, subscribe and join us on this journey to becoming an expert in these exciting fields!

17 Career Paths in Data Science, Machine Learning & AI - Which Fits You?
5:42
17 Career Paths in Data Science, Machine Learning & AI - Which Fits You?
Flattening in Convolutional Neural Networks (CNNs) Explained
1:55
Flattening in Convolutional Neural Networks (CNNs) Explained
STOP Writing Neural Networks From Scratch - Do THIS Instead | HUGING FACE AI LIVE LAB
1:24:21
STOP Writing Neural Networks From Scratch - Do THIS Instead | HUGING FACE AI LIVE LAB
How MAX POOLING Makes Convolutional Neural Networks unstoppable!
14:16
How MAX POOLING Makes Convolutional Neural Networks unstoppable!
Why ReLU (Rectified Linear Unit) is Crucial for Convolutional Neurel Networks: A Simple Guide
6:42
Why ReLU (Rectified Linear Unit) is Crucial for Convolutional Neurel Networks: A Simple Guide
How AI Sees The World! The Magic Behind Convolutional Neural Networks (CNNs)
15:56
How AI Sees The World! The Magic Behind Convolutional Neural Networks (CNNs)
Deep Learning Optimization: Stochastic Gradient Descent Explained
8:49
Deep Learning Optimization: Stochastic Gradient Descent Explained
Gradient Descent: The Smart Way to Train Neural Network
10:12
Gradient Descent: The Smart Way to Train Neural Network
Master Backpropagation in Neural Networks: Step-by-Step Guide
5:22
Master Backpropagation in Neural Networks: Step-by-Step Guide
Mastering Activation Functions in Deep Learning: The Essentials
8:36
Mastering Activation Functions in Deep Learning: The Essentials
Deep Learning Simplified: How NEURAL NETWORKS Work? [Real-World Example]
12:47
Deep Learning Simplified: How NEURAL NETWORKS Work? [Real-World Example]
AI & The Neuron in Deep Learning: How Artificial Neurons Mimic the Human Brain
16:21
AI & The Neuron in Deep Learning: How Artificial Neurons Mimic the Human Brain
From Non-Linear to Linear: Mastering Dimensional Mapping using Kernel SVM (Support Vector Machine)
7:55
From Non-Linear to Linear: Mastering Dimensional Mapping using Kernel SVM (Support Vector Machine)
Avoid These Clustering Mistakes with K-Means++!
4:53
Avoid These Clustering Mistakes with K-Means++!
False Positives & False Negatives
8:15
False Positives & False Negatives
Eclat Algorithm Association Rule Learning
6:22
Eclat Algorithm Association Rule Learning
The Multi Armed Bandit Problem
15:51
The Multi Armed Bandit Problem
The Machine Learning Process
1:49
The Machine Learning Process
Decision Tree Classification
8:25
Decision Tree Classification
Types of Natural Language Processing NLP
4:26
Types of Natural Language Processing NLP
Upper Confidence Bound UCB Algorithm
15:11
Upper Confidence Bound UCB Algorithm
Accuracy Paradox
2:30
Accuracy Paradox
Naive Bayes Intuition Part 3
9:59
Naive Bayes Intuition Part 3
Types of Kernel Functions
4:05
Types of Kernel Functions
K Nearest Neighbour Algorithm - What is K-NN?
5:10
K Nearest Neighbour Algorithm - What is K-NN?
K-Means Clustering
2:55
K-Means Clustering
Evaluating Regression Model Performance
9:12
Evaluating Regression Model Performance
What is Classification
2:48
What is Classification
Bag of Words Model for Natural Language Processing
17:21
Bag of Words Model for Natural Language Processing
Dendograms for Hierarchical Clustering Part 2
11:39
Dendograms for Hierarchical Clustering Part 2