Similarity Measurements ( ফ্রি দেখুন) | EPaathshalaBD

Course Content

Getting into Machine Learning

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What is the difference between AI and Machine Learning?

What is ML and how it works?

How to get a Machine Learning Model in Action? ( ফ্রি দেখুন)

Supervised Learning (Linear Regression)

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What is the meaning of supervised?

Python on the cloud

Linear regression using scikit learn (ফ্রি দেখুন)

Linear regression from scratch (ফ্রি দেখুন)

Linear regression on Real Dataset

Polynomial Regression

Supervised Learning (Logistic Regression)

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What is classification?

Regression inside Classification ( Part 01)

Regression inside Classification ( Part 02)

Logistic Regression on Real dataset

Decision Tree (Part 1)

Decision Tree (Part 2)

Support Vector Classifier

Support Vector Classifier Implementation

Unsupervised Learning

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Unsupervised Learning

Similarity Measurements ( ফ্রি দেখুন)

K Means Implementation

Kth Nearest Neighbour

Overfitting and Underfitting

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Overfitting and Under fitting

Underfit and Overfit Code Example

L2 Regression (Ridge Regression)

Validation Dataseet

Machine Learning in Action

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Exploring Kaggle

Exploring Google Colab

Applying Machine Learning on Kaggle Dataset and Preprocessing

Cross validate and training testing

Data Visualization

Confusion Matrix

Deep Learning

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Introduction to Deep Learning

Visualizing Neural Network

Building Deep Neural Network

Testing and Saving model (Part 01)

Deep Learning Developing Neural Network with Keras Functional API (Part 02)

Feed Forwarding and Backpropagation

Stochastic Gradient Descent

Classification with Neural Network

Handling Overfitting in Neural Network

Reducing Overfitting with Batch Normalization and Drop out layer

Convolutional Neural Network

Image classification

Object Detection

Recurrent Neural Networks and Sequence Models

Transformer Networks for Sequence Models

Machine Learning Essentials for All

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