Complete Machine Learning In 6 Hours| Krish Naik
All the materials are available in the below link
https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main
Visit https://krishnaik.in for data sscience blogs
Time Stamp:
00:00:00 Introduction
00:01:25 AI Vs ML vs DL vs Data Science
00:07:56 Machine LEarning and Deep Learning
00:09:05 Regression And Classification
00:18:14 Linear Regression Algorithm
01:07:14 Ridge And Lasso Regression Algorithms
01:33:08 Logistic Regression Algorithm
02:13:52 Linear Regression Practical Implementation
02:28:30 Ridge And Lasso Regression Practical Implementation
02:54:21 Naive Baye's Algorithms
03:16:02 KNN Algorithm Intuition
03:23:47 Decision Tree Classification Algorithms
03:57:05 Decision Tree Regression Algorithms
04:02:57 Practical Implementation Of Deicsion Tree Classifier
04:09:14 Ensemble Bagging And Bossting Techniques
04:21:29 Random Forest Classifier And Regressor
04:29:58 Boosting, Adaboost Machine Learning Algorithms
04:47:30 K Means Clustering Algorithm
05:01:54 Hierarichal Clustering Algorithms
05:11:28 Silhoutte Clustering- Validating Clusters
05:17:46 Dbscan Clustering Algorithms
05:25:57 Clustering Practical Examples
05:35:51 Bias And Variance Algorithms
05:43:44 Xgboost Classifier Algorithms
06:00:00 Xgboost Regressor Algorithms
06:19:04 SVM Algorithm Machine LEarning Algorithm
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►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB
►Learn In One Tutorials
Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz
Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n
Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n
►Learn In a Week Playlist
Statistics:https://www.you
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Natural Language Processing|Stemming
Krish Naik
Natural Language Processing|BagofWords
Krish Naik
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
Log Normal Distribution in Statistics
Krish Naik
Covariance in Statistics
Krish Naik
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
Pedestrian Detection using OpenCV from Videos
Krish Naik
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
OpenCV Installation | OpenCV tutorial
Krish Naik
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
Using OpenFace for Face recognition in Keras
Krish Naik
OpenPose Tutorial with Tensorflow
Krish Naik
Multiple Linear Regression using python and sklearn
Krish Naik
Dimensional Reduction| Principal Component Analysis
Krish Naik
Movie Recommender System using Python
Krish Naik
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
Precision, Recall and F1-Score
Krish Naik
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
K Means Clustering Intuition
Krish Naik
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
Hierarchical Clustering intuition
Krish Naik
Implement Transfer Learning with a generic Code Template
Krish Naik
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
Unlock Your Application With Your Face using OpenCV
Krish Naik
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
Complete Life Cycle of a Data Science Project
Krish Naik
How we can apply Machine Learning in Finance
Krish Naik
Deep Learning in Medical Science
Krish Naik
How to switch your career to Data Science.
Krish Naik
Linear Regression Mathematical Intuition
Krish Naik
Handle Categorical features using Python
Krish Naik
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
Cross Validation using sklearn and python | Machine Learning
Krish Naik
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
Deploy Machine Learning Model using Flask
Krish Naik
Deployment of Deep Learning Model using Flask
Krish Naik
How to Visualize Multiple Linear Regression in python
Krish Naik
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
Predicting Heart Disease using Machine Learning
Krish Naik
Predicting Lungs Disease using Deep Learning
Krish Naik
Stock Sentiment Analysis using News Headlines
Krish Naik
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
Hyperparameter Optimization for Xgboost
Krish Naik
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik
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Chapters (26)
Introduction
1:25
AI Vs ML vs DL vs Data Science
7:56
Machine LEarning and Deep Learning
9:05
Regression And Classification
18:14
Linear Regression Algorithm
1:07:14
Ridge And Lasso Regression Algorithms
1:33:08
Logistic Regression Algorithm
2:13:52
Linear Regression Practical Implementation
2:28:30
Ridge And Lasso Regression Practical Implementation
2:54:21
Naive Baye's Algorithms
3:16:02
KNN Algorithm Intuition
3:23:47
Decision Tree Classification Algorithms
3:57:05
Decision Tree Regression Algorithms
4:02:57
Practical Implementation Of Deicsion Tree Classifier
4:09:14
Ensemble Bagging And Bossting Techniques
4:21:29
Random Forest Classifier And Regressor
4:29:58
Boosting, Adaboost Machine Learning Algorithms
4:47:30
K Means Clustering Algorithm
5:01:54
Hierarichal Clustering Algorithms
5:11:28
Silhoutte Clustering- Validating Clusters
5:17:46
Dbscan Clustering Algorithms
5:25:57
Clustering Practical Examples
5:35:51
Bias And Variance Algorithms
5:43:44
Xgboost Classifier Algorithms
6:00:00
Xgboost Regressor Algorithms
6:19:04
SVM Algorithm Machine LEarning Algorithm
🎓
Tutor Explanation
DeepCamp AI