Sanjayvk98

Depression-Tweets-Prediction-NLP-

Depression Tweets Prediction using LSTM by Keras and Tensorflow (DL) and Naive Bayes Classifier (ML)

Employee-Atrrition-PySpark-MLlib-

Machine Learning using Pyspark

Ethnus

KPMG-Virtual-Internship-Forage-

IDE: Microsoft Power BI, Microsoft Excel. Tasks Performed: 1.Data Cleaning 2.Data Modelling 3.Data Visualization

OIBSIP

Online-Retail-Transaction-using-RFM-Analysis-and-Clustering

The dataset used for analysis was taken from UK Online Retail Sales and Customer Transaction Data Link:https://data.world/uci Using K Means Clustering and RFM Analysis , we can segment customers based on the product, Quantity, Price and Country

Uber-Data-Analysis-using-R

Performed Exploratory Data Analysis (EDA), Data Cleaning, Data Visualization such as bargraph, Histogram and Heatmap etc. using ggplot2 in R Programming (R studio)

Wind-Power-Generation-Forecasting-using-LSTM

Wind Power Generated using Windmills is forecasted using LSTM model by Keras and Tensorflow

forage-walmart-task-4

Task 4 starter repo

Sanjayvk98

Config files for my GitHub profile.