Ansu-John

Movie-Recommender-System

Implementation of movie recommendation systems using Apache Spark ML alternating least squares (ALS)

Logistic-Regression-with-Spark

Build and evaluate logistic regression model using PySpark 3.0.1 library.

Classification-Models

Build and evaluate various machine learning classification models using Python.

Linear-Regression-with-Spark

Build and evaluate linear regression model using PySpark 3.0.1 library.

Regression-Models

Build and evaluate various machine learning regression models using Python.

Ansu-John

Big-Data-Analysis

Explore various Spark RDD / Dataframe operations using PySpark library.

Credit-Card-Fraud-Detection

Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .

Customer-Segmentation

Implement Customer segmentation using Python 3

Deep-Learning-Classification

Implementation of image classification model to identify the class the input image belongs to.

ML-Classification

Build and evaluate classification model using PySpark 3.0.1 library.

ML-Clustering

Build and evaluate clustering models using PySpark 3.0.1 library.

MLlib-Working-with-Features

Extracting, transforming and selecting features using Spark MLlib

Natural-Language-Processing

Explore various natural language processing models using Python.

Study-Materials

Study Materials prepared

ETL-Verifier

Data validation after ETL using scala.

AB-Testing

Exploration of data from database using python libraries : pyodbc and matplotlib libraries.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

cfn101-workshop

AWS CloudFormation Workshop

component-library

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Data-Science-Resources

Study guides or Best Practices

Deploying-ML-Models-At-Scale

IBM-HR-Analytics-Employee-Attrition

Predict employee attrition using LogisticRegression and RandomForestClassifier.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

pyspark-example-project

Example project implementing best practices for PySpark ETL jobs and applications.

Python

python-scripts

Short and fun Python scripts.

Sales-Forecasting

Predict the department-wide sales for retail store for the following year

Validator