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Introduction and Demo
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Preview of the course
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Preview
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Guide for this course
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Module 1 Introduction to Machine learning
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Module 1-Session 2
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M1 Session 2 Python Installation
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M1 Session 3 Fundamentals of Python
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Quiz Module 1 - Introduction to Machine Learning and Python
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Module 2 - Data Structures in Python
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Module 2, Session1 - Functions and Jupyter Installation
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Module 2, Session 2 - Lists in Python
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Module 2, Session 3
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Quiz Module 2 - Python Core
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Module 3 Numpy
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Module 3 Session1 - Numpy Part 1
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Module 3 Session 2 - Numpy Part 2
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Module 3 Session 3 - Numpy Part 3
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Module 3 Session 4 - Numpy with csv
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Quiz Module 3 - Numpy Arrays
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Module 4
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Module 4 Session 1 - Line Plots
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Module 4 Session 2- Subplots, Sigmoid and Parabola
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Module 4 Session 3 - ScatterPlot Part 1
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Module 4 Session 4- Scatter plot 2
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Module 4 Session 5- Bar Graph and Pie Chart
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Quiz Module 4 - Matplotlib
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Pandas
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Module 5 Session1 - Series in Pandas
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Module 5 Session 2- DataFrames Part 1
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Module 5 Session 3 - DataFrames Part 2
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Module 5 Session 4- Index of DataFrame
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Quiz Module 5 - Pandas Core Part 1
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Module 5 Session 5- CSV File
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Module 5 Session 6- NaN Values
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Module 5 Session 7- Exercise
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Module 5 Session 8-Solution
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Module 5 Session 9 - EDA
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Quiz Module 5 - Pandas Core Part 2
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Module 6 What is Linear Regression?
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M6 Session 1 - What is Linear Regression
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M6 Session 2- Coding from scratch
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M6 Session 3 - Coding from scratch - Part 2
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M6 Session 4- Scratch vs Sklearn
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M6 Session 5 - Years vs Salary
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M6 Session 6- Accuracy and Plot
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M6 Session 7 - Joblib
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Quiz Module 6 - Linear Regression
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Module 7 Basic Intuition on Logistic Regression
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M7 Session 1- Basic Intuition on Logistic Regression
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M7 Session 2 - Logistic Regression from Scratch Part 1
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M7 Session 3 - Logistic Regression from scratch Part 2
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M7 Session 4 - Logistic Regression using Sklearn
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Quiz Module 7 - Logistic Regression
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Module 8 KNN algorithm
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M8 Session 1 KNN algorithm
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M8 Session 2- KNN using Sklearn
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M8 Session 3 - Datasets Sklearn
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M8 Session 4 - Iris Dataset
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M8 Session 5- Iris Coding
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M8 Session 6- Visualization
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Module 8 Session 7- Prediction of values
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Quiz Module 8 - KNN
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Module 9
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M9 Session1- Images in Matplotlib
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M9 Session2 - Solution on Checkerboard
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M9 Session 3- Digits Classification
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M9 Session 4- What is SVM
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M9 Session 5- Coding SVM in Sklearn
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Module 10
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M10 Session 1-What-is-Clustering
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M10 Session 2-Flowchart-of-KMeans
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M10 Session 3-Maths-behind-KMeans
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M10 Session 4 - CLustering in Sklearn
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M10 Session 5-Elbow-Method
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M10 Session 6 - Maths behind Elbow Method
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M10 Session 7-Market-Segmentation
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Assignment 2 - Clustering Questions
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Launch your Graphy