deepankarkotnala/Titanic--Machine-Learning-from-Disaster

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deepankarkotnala/Titanic--Machine-Learning-from-Disaster

deepankarkotnala

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Here we have predicted which passengers are likely to survive based on the data provided.

Object-trajectory-tracking-OpenCV

An app to track the trajectory of an object using OpenCV. This allows us to determine in which direction the objects are moving and much more.

Elections-Visualization

Visualization of the number of seats won by BJP and INC from 1984 to 2019 in Lok Sabha Elections

deepankarkotnala.github.io

Visit the link https://deepankarkotnala.github.io/ to view my website. Best viewed on a bigger screen (preferrably a laptop, tablet or a desktop)

Email-Spam-Ham-Classifier-NLP

Email Classifier (Spam/Ham) using Natural Language Processing and Random Forest Classifier.

Jupyter Notebook

EDA-web-app-built-with-streamlit-deployed-using-docker

An Exploratory Data Analysis App built using Streamlit. This app can plot graphs, show the dataframe, show images, change image contrast, change image size, and a lot more! Also, I have demonstrated how it can be deployed using docker. Check the demo video for more!

PlayWithPython

A series of multiple python codes for learning purpose. It contains codes for web scraping, python tricks, visualizations, APIs, and a lot more.

Jupyter Notebook

HR-Analytics-Project

Every year 15% of the employees of XYZ company leave the organization and hence are required to be replaced with the talent pool available in the job market. The management believes that this level of attrition( employees leaving, either on their own or because they got fired) is bad for the company because of the following reasons: 1. Former employee's project gets delayed. 2. A sizable department has to be maintained for the purpose of recruiting new talent. 3. New employees have to be trained for a job(which is again cost to the company).

PlayWithSQL

Recommendation_Engine

A Movie Recommendation Engine based on collaborative filtering to predict the name of the movie based upon the reviews of the other critics having similar taste.

Jupyter Notebook

WordCloud_From_Wikipedia_Using_Python

This code can be used to create word cloud for any topic present on wikipedia. The code prompts user to enter: The 'Topic' for which wordcloud needs to be generated The number of words to be included in the WordCloud The name of WordCloud file to be generated So, this code can be used to generate a WordCloud for any topic from the wikipedia website.

Volcanic-Data-Visualizations-Plotly

Plotly is a technical computing company that develops online data analytics and visualization tools. It can be easily installed via pip install plotly and then imported in our python notebook. The dataset that we are going to use contains information about volcanos around the world.

Jupyter Notebook

Digit-Recognition-System-Using-SVM

The primary objective is to develop a model using Support Vector Machine which should correctly classify the handwritten digits based on the pixel values given as features.

Uber-Demand-Supply-Gap-Analysis

Uber Technologies Inc. (doing business as Uber) is a peer-to-peer ridesharing, taxi-cab, food-delivery, bicycle-sharing, and transportation network company headquartered in San Francisco, California, with operations in 785 metropolitan areas worldwide. The aim of this analysis is to study the Demand and Supply of Uber Cabs running between the City and the Airport. Through this analysis we need to find out the possible reasons behind the gap in Demand and Supply of Cabs and provide suggestions for reducing this gap and enhancing the Uber Business and profit.