biphili

Kaggle_Projects

Here I am storing all the projects that I have done on Kaggle

Logistic-Regression-

This is an example of Logistic Regression.How we can use to predict which customer will buy a car.

zero_to_deep_learning_video

Repository for the Zero to Deep Learning® Video Course

-Hierarchical-Clustering

This kernel will give an overview on Hierarchical Clustering and Dendograms.Data set contains details of customers shopping in a mall.We use Hierarchical Clustering clustering to segregate them into meaningful clusters

Apriori-Algorithm

Here we have analysed a dataset of sales at a Bakery and used Apriori Algorithm to to find association between the items sold at the Bakery

Classification

In this repository I will be sharing use cases of classification. Different types of classification algorithms will be shared here

Decision_tree

Notebook has an example of Decision tree algorithm with explanation of how Gini Gain Method is used make the tree

Ensemble-Learning-

In Ensemble Learning we use a combination of Machine Learning algorithms to make our predictions more effective. In this repository I will be sharing different examples of Ensemble Learning

Indias-population-growth-140-years-

K-Means

Here I will be sharing the information about K Means Algorithm.We have one example on how to do the segregation of customers using K Means Algorithm.As K means is a unspervised algorithm we have to name the clusters based on our understanding.

K-Means-Clustering-

K-Nearest-Neighbors-

Here I will demonstrate the use of K nearest neighbor

Machine_Learning_Algorithms

This repository contains all the machine Learning algorithms that are frequently used

Model-Optimization

In this repository I will be sharing the optimization techniques to improve Machine Learning Model performance.

Multiple-Linear-Regression

This is a tutorial to find out impact of RD,Marketing ,Administration spenf and place of the business on the profit

NLP-Natural-Language-Processing-

Here I will be sharing Notebooks related to Natural Language Processing

Numpy-Array-and-List

This shows the difference between Array and Lists.How using Numpy arrays saves makes code compact and improves speed of computing.

Numpy-for-Stats

Numpy Python module for stats

Olympic-data-120-years-_1

Finding out the top five countries in the history of Olympic games

Pandas

Here I will be uploading work related to Pandas module. We will explore how Pandas can be used for Data Science.

Pandas-Time-Series-Analysis-1

Polynomial-Linear-Regression-

In this tutorial we will try to predict the salary based on designation using Polynomial Linear regression

Preprocessing-data-in-Python

Before applying machine learning algorithm we need to preprocess the data.In this Notebook following steps are done

Print-Python-Module-Version-

Python

All the notebook will teach you a topic about Python

Reference-Notebooks

Here I am saving good reference notebooks for machine learning

ROC-AUC

Here we will be demonstrating how to plot ROC curve and to calculate AUC.This notebook will we will demonstrate hot to check the effectiveness of a model. We will also demonstrate how to compare model performance using ROC Curve.

Seaborn

This Repository contains Notebooks on how to work with Seaborn

Streamlit

Here I will be sharing details of how to deploy Machine Learning Model with Streamlit

Time-Series-Data

In this repository I will be sharing the Notebooks on how to work with Time Series Data