Gulshank0719

-Basic-Python

Adaboost

Apple-Stock-Forecasting--Capstone-Project

Apple stock forecasting

Basic-statistics-level-2

Book-recommendation-Capstone-project

Building a recommendation system and deplying using streamlit

Churn--Deep-Learning-ANN

Classification Problem in which you'll classify a customer based on his/her Credit Score, Region, Gender, Age, Tenure, Balance, Salary etc. whether he/she will EXIT(1) or NOT(0) using Deep Learning Neural Network

Clustering-DBSCAN-KMEANS

mall customers segmentation using clustering

Hotel-Reviews-Capstone-Project

Sentimental Analysis on hotel reviews (NLP)

Kmeans

Perform Clustering( Kmeans ) for the crime data and identify the number of clusters formed and draw inferences.

pyspark-basics

basics on pyspark

Gulshank0719/Clustering-DBSCAN-KMEANS

mall customers segmentation using clustering

Gulshank0719/Adaboost

Gulshank0719/Apple-Stock-Forecasting--Capstone-Project

Apple stock forecasting

Gulshank0719/Book-recommendation-Capstone-project

Building a recommendation system and deplying using streamlit

Gulshank0719/Churn--Deep-Learning-ANN

Classification Problem in which you'll classify a customer based on his/her Credit Score, Region, Gender, Age, Tenure, Balance, Salary etc. whether he/she will EXIT(1) or NOT(0) using Deep Learning Neural Network

Gulshank0719/Hotel-Reviews-Capstone-Project

Sentimental Analysis on hotel reviews (NLP)

Gulshank0719/Kmeans

Perform Clustering( Kmeans ) for the crime data and identify the number of clusters formed and draw inferences.

Gulshank0719/pyspark-basics

basics on pyspark

Gulshank0719/Breast-Cancer-Prediction

Building and comparing 4 classification models- Logistic Regression, K Nearest Neighbours, Random Forests and Support Vector Machines (SVM).

Gulshank0719/Clustering-using-pyspark

Building a clustering model(KMeans) using pyspark

Gulshank0719/Content-based-recommendation-system

Building a baseline Movie Recommendation System using TMDB 5000 Movie Dataset.

Gulshank0719/Customer-churn-logisric-regression-pyspark

Predicting which customers will churn and assign them an account manager.

Gulshank0719/DBSCAN

Clustering based on DBSCAN

Gulshank0719/Detecting-Fake-News

To build a model to accurately classify a piece of news as REAL or FAKE.

Gulshank0719/Ecommerce_Customers--LinearRegression-

Building a regression model that will predict the customer's yearly spend on the company's product suing pyspark.

Gulshank0719/Emotion-Mining

Extract reviews and performing seentimental analysis

Gulshank0719/Forecasting

Perrin Freres Monthly Champagne Sales

Gulshank0719/Iris---KMeans-cluster

Building model using KMeans

Gulshank0719/Linear-Regression-Using-Pyspark

Predict crew members the ships will need using Pyspark

Gulshank0719/Naive-Bayes

Creating a model using Naive bayes

Gulshank0719/PCA

Principal component analysis

Gulshank0719/Random-forest

Building a random forest algorithm

Gulshank0719/Random-Forest-assignment

Gulshank0719/Recommender-system

Building a recommender engine

Gulshank0719/Support-vector-machine

Building a smodel using SVC

Gulshank0719/Support-Vector-Machines-Classifier

Support Vector Machines (SVMs in short) are supervised machine learning algorithms that are used for classification and regression purposes. In this kernel, I have build a Support Vector Machines classifier to classify a Pulsar star. I have used the Predicting a Pulsar Star dataset for this project.

Gulshank0719/Text-Mining

Sentimental analysis on Elon Musk tweets

Gulshank0719/Titanic---Machine-Learning-from-Disaster

Predict survival on the Titanic and get familiar with ML

Gulshank0719/Titanic-Logistic-regression-Pyspark

Creating a logistic model that predicts which passengers survived the Titanic shipwreck using pyspark

Gulshank0719/XGBM---LGBM