python basic to advanced tutorial for begginers-part-1

YouTube Channel Name : Web Code
I am gonna showing to you how to learn easy way basic to advanced pyhotn in english tutorial.today I will discuss part-1 course Curriculum.

Channel link: https://cutt.ly/fEL0NcK

Video explaining this Curriculum:
Schedule: 3 Videos per week:
Sunday Evening; Wednesday Evening; Friday Evening
Prerequisite: Interest to learn Machine Learning

Hands-On Machine Learning Course Curriculum
Module 1: Machine Learning Basics:
1.1. Artificial Intelligence vs Machine Learning vs Deep Learning
1.2. Types of Machine Learning: Supervised, Unsupervised & Reinforcement Learning
1.3. Supervised Learning & its Types
1.4. Unsupervised Learning & its Types
1.5. Deep Learning – Basics
Module 2: Python Basics for Machine Learning:
2.1. Google Collaborator for Python – Getting Systems Ready
2.2. Python Basics
2.3. Python Basic Data Types – int, float, string, complex, Boolean
2.4. Python Special Data Types – List, Tuple, Set, Dictionary
2.5. Operators in Python
2.6. if else Statement in Python
2.7. Loops in Python – For Loop & While Loop
2.8. Functions in Python
Module 3: Python Libraries Tutorial for Machine Learning:
3.1. Complete Numpy Tutorial for ML
3.2. Complete Pandas Tutorial for ML
3.3. Complete Matplotlib & Seaborn Tutorial for ML
3.4. Complete Learn Tutorial for ML

Module 4: Data Collection & Processing:
4.1. Where to collect Data & How to collect Data
4.2. Importing Data through Kaggle API
4.3. Handling Missing Values
4.4. Data Standardization
Module 5: Math Basics for Machine Learning:
5.1. Linear Algebra
5.2. Calculus
5.3. Statistics
5.4. Probability
Module 6: Training the Machine Learning Models:
6.1. What is a Machine Learning Model
6.2. How to select a model for training
6.3. Model Optimization Techniques
6.4. Model Evaluation
Module 7. Classification Models in Machine Learning:
7.1.1. Logistic Regression – Theory & Math
7.1.2. Logistic Regression – Building from Scratch
7.2.1. Support Vector Machines (SVM) – Theory & Math
7.2.2. Support Vector Machines (SVM) – Building from Scratch
7.3.1. Decision Tree Classification – Theory & Math
7.3.2. Decision Tree Classification – Building from Scratch
7.4.1. Random Forest Classification – Theory & Math
7.4.2. Random Forest Classification – Building from Scratch
7.5.1. Naive Bayes – Theory & Math
7.5.2. Naive Bayes – Building from Scratch
7.6.1. K-Nearest Neighbors – Theory & Basics
7.6.2. K-Nearest Neighbors – Building from Scratch

Module 8: Regression Models in Machine Learning:
8.1.1. Linear Regression – Theory & Basics
8.1.2. Linear Regression – Building from Scratch
8.2.1. Lasso Regression – Theory & Basics
8.2.2. Lasso Regression – Building from Scratch
8.3.1. Logistic Regression – Theory & Math
8.3.2. Logistic Regression – Building from Scratch
8.4.1. Support Vector Machine Regression – Theory & Math
8.4.2. Support Vector Machine Regression – Building from Scratch
8.5.1. Decision Tree Regression – Theory & Math
8.5.2. Decision Tree Regression – Building from Scratch
8.6.1. Random Forest Regression – Theory & Math
8.6.2. Random Forest Regression – Building from Scratch
Module 9: Clustering Models in Machine Learning
9.1.1. K-Means Clustering – Theory & math
9.1.2. K-Means Clustering – Building from Scratch
9.2.1. Hierarchical Clustering – Theory & Math
9.2.2. Hierarchical Clustering – Building from Scratch
Module 10: Association Models in Machine Learning:
10.1.1. Apriori – Theory & Basics
10.1.2. Apriori – Building from Scratch
10.2.1. Eclat – Theory & Math
10.2.2. Eclat – Building from Scratch
Module 11: Machine Learning Projects with Python:
Project 1: Face Recognition system
Project 2: SONAR Rock vs Mine Prediction
Project 3: Diabetes Prediction with Python
Project 4: House Price Prediction with Python
Project 5: Fake News Prediction with Python
Project 6: Loan Status Prediction with Python



LinkedIn link:https://cutt.ly/QEL2oLt
Instagram Link:https://cutt.ly/sEL2gJW
Pinterest link:https://cutt.ly/SEL2xOV
facebook link:https://cutt.ly/ZEL2RQv
website link:https://masukmia.com/

***** And More Project Videos Every Week*****
SUBSCRIBE & STAY TUNED
ALL THE BEST!
May Allah bless you everyone