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-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

housing-price-prediction-linear-linear-regression

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

kaggle_projects

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

linear-regression-

Finding out height of Son from Fathers Height

logistic-regression-

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

machine_learning_algorithms

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

matplot-lib-python-module

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-statistics-

numpy-for-stats

Numpy Python module for stats

numpy-linspace-linear-regression

Numpy Linspace are used for doing Linear Regression

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-python-module

Pandas is Python Module for working with Dataframe

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