📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Kaggle Competition - House Prices: Advanced Regression Techniques Part1

Krish Naik Intermediate 6y ago

ML Fundamentals

Various Roles and Responsibilities in Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Live Q&A (Discussion Regarding Upcoming Videos)

Krish Naik Intermediate 6y ago

ML Fundamentals

Machine Learning Engineer VS Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- Chebyshev's InEquality

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- What is Central Limit Theorem?

Krish Naik Beginner 6y ago

ML Fundamentals

STATISTICS- Gaussian/ Normal Distribution

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- PERCENTILES and QUANTILES

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- Population VS Sample and it's Importance

Krish Naik Intermediate 6y ago

ML Fundamentals

Guidelines To Prepare Resume For Data Scientist Role

Krish Naik Beginner 6y ago

ML Fundamentals

STATISTICS- What are Random Variables and It's Types and its Importance?

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- Variance and Standard Devation

Krish Naik Intermediate 6y ago

ML Fundamentals

STATISTICS- Mean, Median And Mode Explained Easily

Krish Naik Beginner 6y ago

ML Fundamentals

Saturday Live Q&A

Krish Naik Intermediate 6y ago

ML Fundamentals

What is AdaBoost (BOOSTING TECHNIQUES)

Krish Naik Beginner 6y ago

ML Fundamentals

Why Python is the Best Programming Language For Machine Learning?

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Get Data Science Jobs For Freshers

Krish Naik Intermediate 6y ago

ML Fundamentals

Online Courses for Data Science Specialization

Krish Naik Intermediate 6y ago

ML Fundamentals

How To Learn Data Science by Self Study and For Free

Krish Naik Intermediate 6y ago

ML Fundamentals

Do We Require Master OR PHD to Become Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

Answering Your Questions and Some More Updates

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 2- Deployment of ML models in Heroku using FLASK

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 1- Deployment of Models- Premises VS IAAS vs PAAS cloud Platforms

Krish Naik Beginner 6y ago

ML Fundamentals

How To Apply Data Science In Your Domain?

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 43-Random Forest Classifier and Regressor

Krish Naik Beginner 6y ago

ML Fundamentals

Important Tools and Libraries Used By Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 42 - Ensemble: What is Bagging (Bootstrap Aggregation)?

Krish Naik Beginner 6y ago

ML Fundamentals

How To Learn Data Science Smartly?

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 22- Padding in Convolutional Neural Network

Krish Naik Beginner 6y ago

ML Fundamentals

The Role of Maths in Data Science and How to Learn?

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 21- What is Convolution operation in CNN?

Krish Naik Beginner 6y ago

ML Fundamentals

Tutorial 20- Convolution Neural Network vs Human Brain

Krish Naik Beginner 6y ago

ML Fundamentals

How To Handle Missing Values in Categorical Features

Krish Naik Intermediate 6y ago

ML Fundamentals

Cosine Similarity and Cosine Distance

Krish Naik Intermediate 6y ago

ML Fundamentals

Euclidean Distance and Manhattan Distance

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Do I Teach? Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

Data Engineer vs Data Analyst vs Data Scientist

Krish Naik Intermediate 6y ago

ML Fundamentals

What Do A Data Scientist Do?

Krish Naik Intermediate 6y ago

ML Fundamentals

Why Do We Need to Perform Feature Scaling?

Krish Naik Intermediate 6y ago

ML Fundamentals

Different Types of Feature Engineering Encoding Techniques

Krish Naik Intermediate 6y ago

ML Fundamentals

How to Crack Data Science Interviews- Motivations

Krish Naik Intermediate 6y ago

ML Fundamentals

What should be your Salary Expectation as a Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

Step By Step Transition Towards Data Science

Krish Naik Intermediate 6y ago

ML Fundamentals

Tutorial 37: Entropy In Decision Tree Intuition

Krish Naik Beginner 6y ago

ML Fundamentals

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Krish Naik Intermediate 6y ago

ML Fundamentals

Complete Life Cycle of a Data Science Project

Krish Naik Intermediate 6y ago

ML Fundamentals

My Path on Becoming a Data Scientist- Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Train Test Split vs K Fold vs Stratified K fold Cross Validation

Krish Naik Intermediate 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Building and Optimizing AI Models

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Responsible AI: Applying AI Principles with GC - Français

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning for Computer Vision

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Build a Machine Learning Image Classifier with Python

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Debug ML Code: Fix, Trace & Evaluate

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Open Source Application Development

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Physics 101 - Energy and Momentum

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Applied Machine Learning and Model Optimization

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

ML Pipelines on Google Cloud - Português

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Statistics You Need to Know for Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Image Generation - Deutsch

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning - Anomaly Detection via PyCaret

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning in the Enterprise - Italiano

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Graphs and Networks

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Diabetes Prediction With Pyspark MLLIB

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Essentials

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AI Applications in People Management

Opens on Coursera ↗