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Hi there 👋

Warm Welcome from Tejas...!

A place where you can find all the basics behind:

1. Regression Analysis:

 1.1.Linear
 
     1.1.1 Simple Linear Regression
     
     1.1.2 Multiple Linear Regression
 
 1.2 Logistic Regression
 
 1.3 Polynomial Regression
 
 1.4 Decision Tree and Random Forrest Regression
 
 1.5 Neural Network Regression

2. Classification Tasks:

 2.1 Decision Tree
 
 2.2 Random Forrest
 
 2.3 Naive Bays

3. Computer Vision:

 3.1 Image Classification
 
 3.2 Object Detection & Localization

TEJAS PHASE's Projects

analyze_diabeties_dataset icon analyze_diabeties_dataset

This is daily concept practice project include tasks of Importing the dataset, Cleaning it, Analyze it then Model Building and Evaluation.

cnn_from_scratch icon cnn_from_scratch

This repository is a demonstration of building a Convolution Neural Network from Scratch in Python without any usage of the External Library.

image_processing icon image_processing

This repository contains all the basic operations that can be implemented on an image to process and analyse it.

implement_nonlinear_functions icon implement_nonlinear_functions

This repository contains notebook which contains all the implementations of Non_linear activation functions and their derivatives.

numpy_for_data_analysis icon numpy_for_data_analysis

The repository is the effort to explain useful NumPy commands in the tasks of Data Cleaning & Data Preparation in Exploratory Data Analysis step. The commands are explained in detail with appropriate examples. The one who will go with the notebooks in both parts will get knowledge about the importance of the Numpy library in Data Analysis and how it can be useful to perform various treatments on Data. So, without wasting more time let's jump into NumPy's World.

project_automl_h2o icon project_automl_h2o

This is an experimentation with H2O AutoML library for Data Pre-processing and Model Selection.

project_building_basic_neural_network icon project_building_basic_neural_network

In this project I built a simple neural network for classifying clothing items from Fashion MNIST dataset and perform experimentation with the model parameters to analyze the effect on model's accuracy.

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