Machine Learning Course With Python

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9:24

Machine Learning Course curriculum | Machine Learning - Roadmap

Hi Guys! In this video, I have explained you about the Machine Learning Course Curriculum. You can learn Machine Learning in 3 Months from my channel. I am making a Hands-on Machine Learning Course with Python.
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5:35

1.1 AI vs Machine Learning vs Deep Learning | AI vs ML vs DL | Machine Learning Training with Python
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7:04

1.2. Supervised vs Unsupervised vs Reinforcement Learning | Types of Machine Learning
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6:13

1.3. Supervised Learning | Types of Supervised Learning | Machine Learning Tutorial
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8:03

1.4. Unsupervised Learning | Clustering and Association Algorithms in Machine Learning
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8:40

1.5. What is Deep Learning | Deep Learning Tutorial | Deep Learning Simplified
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10:17

2.1. Google Colaboratory for Python | Getting started with Google Colaboratory | Google Colab basics
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23:04

2.2. Python Basics | Python Tutorial For Beginners | Learn Python Programming from Scratch
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20:40

2.3. Python Basic Data Types | Python Tutorial | int float string complex boolean
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27:04

2.4. Python Special data types | List Tuple Set Dictionary | Python Tutorial
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19:29

2.5. Operators in Python | Python Tutorial |Arithmetic Assignment Comparison Logical Identity Member
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13:59

2.6. if else statement in Python | if else | if elif else | nested if statement | Python Tutorial
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15:50

2.7. Loops in Python | For Loop in Python | While Loop in Python | Python Tutorial
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15:12

2.8. Functions in Python | Python Tutorial for Beginners
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45:52

3.1. Complete Numpy Tutorial in Python | Numpy Arrays
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47:04

3.2. Complete Pandas Tutorial in Python | Pandas Dataframe Tutorial
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30:54

3.3. Matplotlib Tutorial in Python | Machine Learning Course with Python
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35:56

3.4. Seaborn Tutorial in Python | Machine Learning Course
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13:26

4.1. Where to Collect Data For Machine Learning? | Data Collection
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14:29

4.2. Importing Datasets through Kaggle API
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21:59

4.3. Handling Missing Values in Machine Learning | Imputation | Dropping
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20:14

4.4. Data Standardization | Data Preprocessing | Machine Learning Course
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19:18

4.5. Label Encoding | Data Pre-Processing | Machine Learning Course
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12:32

4.6. Train Test Split | Splitting the dataset to Training and Testing data | Machine Learning Course
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19:10

4.7. How to Handle imbalanced Dataset | Data Pre-Processing | Machine Learning Course
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11:57

4.8. Feature extraction of Text data using Tfidf Vectorizer | Data Preprocessing | Machine Learning
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20:35

4.9. Numerical Dataset Pre-Processing - Use Case | Machine Learning Course with Python
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36:21

4.10. Text Dataset Pre-Processing - Use Case | Machine Learning Course | Data Pre Processing
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49:33

Project 1 : SONAR Rock vs Mine Prediction with Python | End To End Python Machine Learning Project
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58:11

Project 2: Diabetes Prediction using Machine Learning with Python | End To End Python ML Project
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56:28

Project 3. House Price Prediction using Machine Learning with Python | Machine Learning Project
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1:11:50

Project 4. Fake News Prediction using Machine Learning with Python | Machine Learning Projects
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1:08:55

Project 5. Loan Status Prediction using Machine Learning with Python | Machine Learning Project
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58:09

Project 6. Wine Quality Prediction using Machine Learning with Python | Machine Learning Project
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47:53

Project 7. Car Price Prediction using Machine Learning with Python | Machine Learning Projects
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40:55

Project 8. Gold Price Prediction using Machine Learning with Python | Machine Learning Projects
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42:55

Project 9. Heart Disease Prediction using Machine Learning with Python | Machine Learning Projects
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49:35

Project 10. Credit Card Fraud Detection using Machine Learning in Python | Machine Learning Projects
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1:05:09

Project 11. Medical Insurance Cost Prediction using Machine Learning with Python | ML Projects
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1:17:11

Project 12. Big Mart Sales Prediction using Machine Learning with Python | Machine Learning Projects
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49:47

Project 13. Customer Segmentation using K-Means Clustering with Python | Machine Learning Projects
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1:09:58

Project 14. Parkinson's Disease Detection using Machine Learning - Python | Machine Learning Project
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1:13:12

Project 15. Titanic Survival Prediction using Machine Learning in Python | Machine Learning Project
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1:12:32

Project 16. Calories Burnt Prediction using Machine Learning with Python | Machine Learning Projects
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6:05

5.0. Mathematics for Machine Learning - Introduction | Machine Learning Course
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10:19

5.1.1. Linear Algebra - Vectors | Mathematics for Machine Learning
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13:43

5.1.2. Vector Operations - Part 1 | Mathematics for Machine Learning | Linear Algebra
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19:53

5.1.3. Vector Operations - in Python - Part 1 | Math for Machine Learning | Linear Algebra
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10:24

5.1.4. Vector Operations - Part 2 | Dot Product | Cross Product | Projection of vector | Math for ML
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18:59

5.1.5. Vector Operations - in Python - Part 2 | Dot Product | Cross Product | Projection of vector
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14:58

5.1.6. Matrix - Basics | Math for Machine Learning | Linear Algebra
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19:28

5.1.7. Working with Matrix in Python | Mathematics for Machine Learning | Linear Algebra
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19:56

5.1.8. Matrix Operations - Addition, Subtraction, Multiplication | Mathematics for Machine Learning
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32:25

5.1.9. Matrix Operations in Python | Mathematics for Machine Learning | Linear Algebra
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8:58

5.2.1. Statistics for Machine Learning | Machine Learning course
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13:40

5.2.2. Basics of Statistics | Types of Data in Statistics | Statistics for Machine Learning
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14:05

5.2.3. Types of Statistics | Descriptive and Inferential Statistics | Machine Learning Course
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5.2.4. Types of statistical studies | Statistics for Machine Learning | Machine Learning course
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23:38

5.2.5. Population and Sample | Sampling techniques | Statistics for Machine Learning
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16:32

5.2.6. Measure of Central Tendencies - Mean, Median, Mode | Statistics for Machine Learning
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5.2.7. Measure of Variability - Range, Variance, Standard Deviation | Math for Machine Learning
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5.2.8. Percentiles and Quantiles | Statistics for Machine Learning | Machine Learning Course
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13:43

5.2.9. Correlation and Causation | Statistics for machine learning | Machine Learning Course
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10:12

5.2.10. Hypothesis Testing | Null Hypothesis and Alternative Hypothesis | Math For Machine Learning
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8:27

5.3.1. Probability for Machine Learning | Machine Learning Course
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10:13

5.3.2. Basics of Probability | Probability for Machine Learning | Machine Learning Course
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5.3.3. Random Variables and its types | Discrete Random Variables | Continuous Random Variables
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5.3.4. Probability Distribution for Random Variable | Machine Learning Course
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5.3.5. Normal Distribution or Gaussian Distribution | Skewness | Probability for Machine Learning
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5.3.6. Poisson Distribution | Probability for Machine Learning
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21:07

6.1. What is a Machine Learning Model?
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6.2. Supervised Learning Models | Supervised Learning
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6.3. Unsupervised Learning Models | Unsupervised Learning
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14:23

6.4. How to choose the right Machine Learning Model | Model Selection | Cross Validation
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14:14

6.5. Overfitting in Machine Learning | Causes for Overfitting and its Prevention
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8:47

6.6. Underfitting in Machine Learning | Causes for Underfitting and its Prevention
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18:49

6.7. Bias Variance Tradeoff | Machine Learning
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14:19

6.8. Loss Function in Machine Learning
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15:48

6.9. Model Evaluation in Machine Learning | Accuracy score | Mean Squared Error
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32:43

6.10. Model Parameters and Hyperparameters | Weights & Bias | Learning Rate & Epochs
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26:16

6.11. Gradient Descent in Machine Learning
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29:24

7.1.1. Linear Regression - Intuition | Machine Learning Models
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20:50

7.1.2. Linear Regression - Mathematical Understanding
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7.1.3. Gradient Descent for Linear Regression
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49:48

7.1.4. Building Linear Regression from scratch in Python
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1:04:09

7.1.5. Implementing Linear Regression from scratch in Python
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22:31

7.2.1. Logistic Regression - Intuition | Machine Learning Course
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17:31

7.2.2. Math behind Logistic Regression | Machine Learning Models
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29:13

7.2.3. Loss Function and Cost Function for Logistic Regression
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19:52

7.2.4. Gradient Descent for Logistic Regression
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1:05:18

7.2.5. Building Logistic Regression from scratch in Python
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29:16

7.2.6. Implementing Logistic Regression from scratch in Python
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38:55

Machine Learning Interview Questions and Answers | Machine Learning Interview Preparation
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1:02:54

Project 17. Spam Mail Prediction using Machine Learning with Python | Machine Learning Projects
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1:15:03

Project 18. Movie Recommendation System using Machine Learning with Python
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15:52

7.3.1. Support Vector Machine Classifier - Intuition
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31:55

7.3.2. Math behind Support Vector Machine Classifier
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7.3.3. Support Vector Machine - Kernels
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22:18

7.3.4. Loss Function for Support Vector Machine Classifier - Hinge Loss
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18:28

7.3.5. Gradient Descent for Support Vector Machine Classifier
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1:05:03

7.3.6. Building Support Vector Machine Classifier from scratch in Python
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58:21

7.3.7. Implementing Support Vector Machine Classifier from Scratch in Python
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40:15

Machine Learning - Interview Questions and Answers - Part 2
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58:55

Project 19. Breast Cancer Classification using Machine Learning | Machine Learning Projects
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14:04

Anaconda and Streamlit installation for Machine Learning Model Deployment
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40:24

Deploy Machine Learning Model using Streamlit in Python | ML model Deployment
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21:05

7.4.1. Lasso Regression - Intuition
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22:15

7.4.2. Math Behind Lasso Regression
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18:40

7.4.3. Gradient Descent for Lasso Regression
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53:42

7.4.4. Building Lasso Regression from Scratch in Python
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17:42

7.5.1. K-Nearest Neighbors (KNN) - intuition
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14:48

7.5.2. Math behind K-Nearest Neighbors (KNN)
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23:09

7.5.3. Calculating Euclidean and Manhattan distance in Python
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50:15

7.5.4. K-Nearest Neighbors Classifier from Scratch in Python | KNN Classifier
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28:48

7.5.5. Implementing K-Nearest Neighbors Classifier from Scratch in Python | KNN Classifier
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17:16

7.6.1. Decision tree - intuition
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18:23

7.6.2. Entropy, Information Gain & Gini Impurity - Decision Tree
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17:06

K Fold Cross Validation | Cross Validation in Machine Learning
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47:20

8.2. Cross Validation - Python implementation | cross_val_score | Cross Validation in Sklearn
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13:36

8.3. Hyperparameter Tuning - GridSearchCV and RandomizedSearchCV
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40:09

8.4. GridSearchCV and RandomizedSearchCV - Python implementation | Hyperparameter Tuning
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1:21:07

DL Project 1. Breast Cancer Classification with Neural Network | Deep Learning Projects in Python
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41:03

Processing Image data in Python for Deep Learning Applications | Image Processing with Python
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1:30:45

DL Project 2. MNIST Digit Classification with Neural Network | Deep Learning Projects in Python
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15:35

8.5. Model Selection in Machine Learning | How to choose the right Machine Learning model
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8.6. Model Selection in Machine Learning with Python | Choosing the right Machine Learning model
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8.7. Accuracy Score and Confusion Matrix - Concept & Python implementation | Model Evaluation in ML
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32:12

8.8. Precision, Recall, F1 score | Model Evaluation
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26:33

8.9. Precision, Recall, F1 Score - Python Implementation | Model Evaluation in Machine Learning
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43:25

How to Deploy Machine Learning Model as an API in Python - FastAPI
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21:02

Deploying ML model as Public API using FastAPI and Ngrok in Google Colaboratory
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24:46

Deploying Machine Learning model as API on Heroku | FastAPI | Heroku | Python | ML
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18:21

Deploying a Machine Learning web app using Streamlit on Heroku
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1:28:27

DL Project 3. Dog vs Cat Classification using Transfer Learning | Deep Learning Projects in Python
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1:35:45

DL Project 4. CIFAR - 10 Object Recognition using ResNet50 | Deep Learning Projects in Python
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1:21:21

DL Project 5. Face Mask Detection using Convolutional Neural Network (CNN) - Deep Learning Projects