Name: Ashutosh Kumar
Type: User
Company: @thomsonreuters @Volkswagen @ascena @Tesco @TechMahindra
Bio: Python, SQL, Data Science, Neural Networks, AI, ML, Spark, Hive, Hadoop, MLOps, Deployment, Java, Micro Services, UNIX, PL-SQL, C/Pro-C, Oracle
Location: Bangalore
Ashutosh Kumar's Projects
Building a response model based on the Portuguese bank marketing data set from UCI
Cancer Prediction using AdaBoost
Surprise Housing House Price Prediction
This is for Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques/ .
This repository contains examples and template files for DAG Authoring
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
GitHub config file for profile
Evaluation and review of various popular Auto Time Series Algorithms - Fbprophet, DART and PyCaret
In this project, task is to help banking organization to identify the right customers using predictive models. Using past data of the bank’s applicants, you need to determine the factors affecting credit risk, create strategies to mitigate the acquisition risk and assess the financial benefit of the project.
Build a simple CNN-based architecture to classify the 10 digits (0-9) of the MNIST dataset.
Use an RNN to generate C code.
The case study is a traditional supervised binary classification problem based on the UCI Machine Learning Repository "adult" dataset.
Android basic chat-bot application
Working with Chest X-Ray (CXR) images : Medical Imaging
In this project we will build multiple CNN models for CIFAR-10 Image Classification
To categorize the countries using some socio-economic and health factors that determine the overall development of the country. Then you need to suggest the countries which the CEO needs to focus on the most.
Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard
Data Science Project :Exploratory Data Analysis using Python to understanding the Credit Default Factors.
This notebook demonstrates how to do cross-validation (CV) with linear regression as an example (it is heavily used in almost all modelling techniques such as decision trees, SVM etc.). We will mainly use sklearn to do cross-validation.
Data Science Project : Perform K-means clustering on online retailer customer data.
Determination of major drivers of sales and forecasting sales for next 6 periods
Visualization techniques and examples for multiple data types
Build a decision tree(model) to predict the income of a given population
Keras code and weights files for popular deep learning models.
We aim to deploy gesture recognition model on docker with Flask
Deploy ML models in Heroku using Flask
We deploy an object detection model on AWS using flask.
To build a MMM for ElecKart Ontario based ecommerce company
Recommendation System for an Online Beer Company
This project involves building a 3D Neural Network to correctly recognize hand gestures by a user to control a smart TV.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent