Gulshan K (Gulshank0719)

Gulshank0719

Geek Repo

Location:Bangalore

Home Page:gulshank0719@gmail.com

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Gulshan K's repositories

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Book-recommendation-Capstone-project

Building a recommendation system and deplying using streamlit

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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

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Hotel-Reviews-Capstone-Project

Sentimental Analysis on hotel reviews (NLP)

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Kmeans

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

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pyspark-basics

basics on pyspark

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Breast-Cancer-Prediction

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

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Clustering-DBSCAN-KMEANS

mall customers segmentation using clustering

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Clustering-using-pyspark

Building a clustering model(KMeans) using pyspark

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Content-based-recommendation-system

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

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Customer-churn-logisric-regression-pyspark

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

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DBSCAN

Clustering based on DBSCAN

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Detecting-Fake-News

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

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Ecommerce_Customers--LinearRegression-

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

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Emotion-Mining

Extract reviews and performing seentimental analysis

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Forecasting

Perrin Freres Monthly Champagne Sales

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Iris---KMeans-cluster

Building model using KMeans

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Linear-Regression-Using-Pyspark

Predict crew members the ships will need using Pyspark

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Naive-Bayes

Creating a model using Naive bayes

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PCA

Principal component analysis

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Random-forest

Building a random forest algorithm

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Recommender-system

Building a recommender engine

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Support-vector-machine

Building a smodel using SVC

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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.

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Text-Mining

Sentimental analysis on Elon Musk tweets

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Titanic---Machine-Learning-from-Disaster

Predict survival on the Titanic and get familiar with ML

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Titanic-Logistic-regression-Pyspark

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

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