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Requirement :
- Basic understanding of Python.
Why Machine Learning ?
- Machine Learning is an growing field in the wolrd ,it is used in robotics,self_driving_car etc...
My Name’s Faroz,
I am the instructor for this course.
The course is divided into 2 main sections:
The main thing is I’ve explained Everythong in very simple manner , So Anyone can Learn Machine Learning without any Pre-Knowledge”
What You Will Learn From This Course:
What will you learn ?
· From installation of Anaconda to Creating Machine Learning Model
· All the Algorithm's concept and Coding in python
· We Do Natural Language Processing
· We Do Face Recognition
Curriculum For This Course
- Introduction To Machine Learning
- Installation of Anaconda
- Installation - Part 1
- Installation - Part 2
- Numpy
- Pandas - Part 1
- Pandas - Part 2
- Matplot
- Dist Plot
- About The Dataset
- Scatter Plot
- Pair Plot
- Distplot
- Box Plot
- About The Dataset
- Categorical Values
- Missing Values
- Feature Scalling
- Intro To Regression
- About The Dataset
- What Is Linear Regression
- Linear Regression
- Eavaluating
- Gradient Descent
- About The Dataset
- What Is Support Vector Regression
- Support Vector Regression
- About The Dataset
- What Is Polynomial Regression
- Polynomial Regression
- What Is CART
- Decisiontree
- Randomforest
- Intro To Classification
- What Is Logistic Regresion
- Logistic Regression
- What Is K-Neighbours
- KNN
- What Is Support Vector Machine
- Support Vector Machines
- What Is Naive Bayes
- NB
- Random_forest
- About The Dataset
- What Apriori Algorithm
- Apriori
- Introduction To Clustering
- About The Dataset
- What Is K-means Clustering
- K-means
- What Is HC
- Hierachy Clustering
- What Is ANN
- ANN
- Mnist Dataset(kaggle)
- Pricipal Component Analysis
- Feature Selection
- K-fold
- xgboost
- Natural Language Processing
- Dataset And Coding
- Face Detect
- About Emotional Classification
- Emotional Classification
- Conclusion
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