Harshit Singh (Storiesbyharshit)

Storiesbyharshit

Geek Repo

Company:IBM Certified AI Engineer | IBM Certified Data Scientist

Location:India

Home Page:https://www.linkedin.com/in/harshit-singh-2608531a6/

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Harshit Singh's repositories

Data-Science-Portfolio

Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .

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Competetive-Coding

A repository containing DS and Algo Implementations

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NN-Visualizer-Web-App

Neural Network Visualizer Web App using Flask and Streamlit

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Deep-Learning

Deep Learning projects and implementations using Tensorflow,Keras and Pytorch.

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Natural-Language-Processing

Natural Language Processing (NLP) mini projects and implementations.

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Combining-Oversampling-and-Undersampling-for-Imbalanced-Classification

Oversampling and Undersampling for Imbalanced Classification using various techniques

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Contextual-Chatbot-in-PyTorch

Simple chatbot implementation with PyTorch.

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COVID-19-Streamlit-Visualization

Coronavirus Realtime Interactive Dashboard for India using Streamlit

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Deep-Learning-using-Pytorch

Implementing Deep Learning Models using PyTorch

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Facebook-Prophet-for-Time-Series

Using Facebook Prophet for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.

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Penguin-Species-Classification-Web-App

This web app predicts the species of penguins as a function of their input parameters (bill length, bill width, flipper length, body mass, sex and island).

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Storiesbyharshit

### Hi there đź‘‹ I'm Harshit Singh

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Streamlit-Web-Apps

Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant web apps! All in pure Python.

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Uber-Rides-Data-Visualization-Web-App

This is a Streamlit app that shows the Uber pickups geographical distribution in New York City. Use the slider to pick a specific hour.

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