ashishgopal1414 Goto Github PK

2018_siop_machine_learning_winners

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

advanced-streamlit-dataset-explorer

Drap and drop csv files to EDA and Visualisation

all-python-projects

This repository contains my Python projects.

ashish-data-profiler-app

ashishgopal1414.github.io

assets

automatewhatsapp

automate whatsapp

bert-keyword-extractor

build-a-data-science-web-app-with-streamlit-and-python

Build a Data Science Web App with Streamlit and Python

camscanner

Create your own Camscanner

car-license-plate-recognition

This is an implementation of a research paper - creating an Automatic Car License Plate Recognizer with some Computer Vision Techniques.

chopinbotapp

Web application for piano music generation in the style of Chopin. Powered by Streamlit.io

churn_model-survival-analysis

competitive-data-science-notes

This repositroy has my competitive Data Science notes.

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

customer-survival-analysis-and-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

customer-survival-analysis-and-churn-prediction-for-an-internet-service-provider

Customer Survival Analysis and Churn Prediction App: https://churn-prediction-app.herokuapp.com/ Customer attrition, also known as customer churn, customer turnover, or customer defection, is the loss of clients or customers. Telephone service companies, Internet service providers, pay TV companies, insurance firms, and alarm monitoring services, often use customer attrition analysis and customer attrition rates as one of their key business metrics because the cost of retaining an existing customer is far less than acquiring a new one. Companies from these sectors often have customer service branches which attempt to win back defecting clients, because recovered long-term customers can be worth much more to a company than newly recruited clients. Predictive analytics use churn prediction models that predict customer churn by assessing their propensity of risk to churn. Since these models generate a small prioritized list of potential defectors, they are effective at focusing customer retention marketing programs on the subset of the customer base who are most vulnerable to churn. In this project I aim to perform customer survival analysis and build a model which can predict customer churn. I also aim to build an app which can be used to understand why a specific customer would stop the service and to know his/her expected lifetime value.

data-science-methods

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

datascience_webapp

datasciencecourseprojects

Course Projects for AMATH582

dataset-explorer-streamlit-app

Exploratory Data Analysis Application Using Streamlit

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deeplearning.ai-tensorflow-developer-course

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

demo-face-gan

A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dlaicourse

Notebooks for learning deep learning

ds-ml-books

Data Science, Machine Learning, Data Mining and Statistical Learning Books