- Description
- Curriculum
- Reviews
Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn.
This course is for those who wants to :
Level up their Python skills
Learn advanced programming
Have fun with ML and AI
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1
Machine Learning basicsWhat is Machine Learning
Supervised Learning, Unsupervised Learning
Using Jupiter Notebook / Google Colab -
2
Data Handling
○ Working with Pandas.
○ Working with Numpy
○ Array Dimension
○ Data Splitting
○ Data Scaling
○ Handling Missing Data -
3
Regression
○ Linear Regression
○ Polynomial Linear Regression
○ Support Vector
○ Decision Tree
○ Random Forest -
4
Classification
○ Logistic Regression
○ K-NN intuition
○ Naive Bayes
○ Decision Tree Intuition
○ Decision Tree Code
○ Random Forest Code -
5
Clustering
○ K-Mean Algorithm
○ K-Mean Algorithm 2 Elbow Method
○ Agglomerative Intuition -
6
Data Dimensionality
○ Correlation Matrix and Extra Tree Classifier
○ K Fold
○ Principal Component Analysis
○ TSNE -
7
Association Mining
○ Learning about Association Rule Mining Intuition
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8
Natural Language Processing
○ Get to know all about Natural Language Processing Intuition, NLP
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9
Projects
○ Sentiment Analysis
Understanding Data, Processing Data , Preparing WorldCloud, Predicting the Data
