piyushsrivastav

Adult-Census-Income

To determine whether a person makes over $50K a year or not. Problem Solving approach- PCA on Adult Census data and then using K-means Clustering and Hierarchical/Agglomerative Clustering for clustering the classes accordingly

BankLoan-Defaulter

The Goal is to predict if a customer will be a loan defaulter or not based on various attributes such as funded amount, term, interest rates, loan amount, balance

bankloandefaulter

biketrain-xgboost

churnprediction

human-activity-recognition-Neuralnets

Sensor data is widely used in all the fitness applications to track a user's health and fitness. This is one use case of what we can do with sensor data, in the coming years with the onset of 5G technology, many products with sensor data in the form of latitude, longitude, temperature, humidity, time, etc will open up a range of applications which when combined with Data Science will give rise to wide variety of applications in the field.

Medical-issues

Machine learning model to predict if a person will suffer from Brain Stroke or not by using feature engineering and ensemble methods.

NLP-Libraries

For quick Revision of Natural Language Processing Libraries.

power-grid-system

Telecom-Customers-Churn

Building a model that will help to identify potential customers who have a higher probability to churn. This helps the company to understand the pinpoints and patterns of customer churn and increases the focus on strategizing Customer retention.

piyushsrivastav/Adult-Census-Income

To determine whether a person makes over $50K a year or not. Problem Solving approach- PCA on Adult Census data and then using K-means Clustering and Hierarchical/Agglomerative Clustering for clustering the classes accordingly

piyushsrivastav/BankLoan-Defaulter

The Goal is to predict if a customer will be a loan defaulter or not based on various attributes such as funded amount, term, interest rates, loan amount, balance

piyushsrivastav/bankloandefaulter

piyushsrivastav/biketrain-xgboost

piyushsrivastav/churnprediction

piyushsrivastav/human-activity-recognition-Neuralnets

Sensor data is widely used in all the fitness applications to track a user's health and fitness. This is one use case of what we can do with sensor data, in the coming years with the onset of 5G technology, many products with sensor data in the form of latitude, longitude, temperature, humidity, time, etc will open up a range of applications which when combined with Data Science will give rise to wide variety of applications in the field.

piyushsrivastav/Medical-issues

Machine learning model to predict if a person will suffer from Brain Stroke or not by using feature engineering and ensemble methods.

piyushsrivastav/NLP-Libraries

For quick Revision of Natural Language Processing Libraries.

piyushsrivastav/power-grid-system

piyushsrivastav/Telecom-Customers-Churn

Building a model that will help to identify potential customers who have a higher probability to churn. This helps the company to understand the pinpoints and patterns of customer churn and increases the focus on strategizing Customer retention.

piyushsrivastav/Coupon_offer

### **Objective** The objective is to predict whether or not the the grocery stores will be offering the discount coupons for a given customer. ### **Domain** Retail, Marketing

piyushsrivastav/Customer-acquisition

Food mart X is a chain of convenience stores in the United States. The private company’s headquarters are in Mentor, Ohio, and currently, approximately 325 stores are in the US. Convenient food mart operates on the franchise system. We are designing an ML-based algorithm for predicting the cost of the media in acquiring customers

piyushsrivastav/Deep-Learning

piyushsrivastav/eda-amazon

piyushsrivastav/edaforamazon

piyushsrivastav/edaseaborn

piyushsrivastav/Emotion-AI-Facial-Key-points-Detection

piyushsrivastav/Friends-Network

This simulation is one of the way to store and organize the data in social networking applications. By saving your data in graph data structure the further application can be extended by utilizing it into the decision making and recommendation systems based on the various other parameters such as last searched item, tweet sentiments, type of followers etc.

piyushsrivastav/Google-Play-Store-Analysis

Data Analysis and Data Visualization with matplotlib

piyushsrivastav/Google-Play-Store-ML

The Goal is to predict the rating for an app based on the given input features like size, number of downloads etc.

piyushsrivastav/imageprocessing

Image processing using OPENCV

piyushsrivastav/Lunar-Hackathon

To develop a Sample Model for water location and identification by NLP and KNN Algorithms using Image datasets

piyushsrivastav/Machine-Learning-with-Real-World-Projects

Code Repository for Machine Learning with Real World Projects, Published by Packt

piyushsrivastav/MachineHack

piyushsrivastav/Pipeline-Demonstration

piyushsrivastav/Quora-Question-Pairs

piyushsrivastav/Redefining-Cancer-Treatment

piyushsrivastav/Song-music-player