Projects
-
An AutoML web app capable of predicting the chronic kidney disease as well as cleaning the data and generate an analysis report and visualize the data using different kinds of graphs.
-
Use Python and it's packages like Pandas, Numpy, Scikit-Learn and Tensorflow for data wrangling and model building.
-
Use Streamlit to build an interactive web app
-
It is an End to End Machine Learning Project.
-
A book recommendation system app built in python.
It is an end-to-end project. It can recommend books to users based on their input and also recommend the top-rated books to them. -
The web app was built with Streamlit and is hosted on the Streamlit platform.
-
Created a tool that estimates data science salaries (MAE ~ $ 9K) to help data scientists negotiate their income when they get a job.
-
Scraped over 1000 job descriptions from glassdoor using python and selenium.
-
Engineered features from the text of each job description to quantify the value companies put on python, excel, aws, and spark.
-
Optimized Linear, Lasso, Random Forest Regressor and Xgboost Regressor using GridsearchCV to reach the best model.
-
It is an End to End Machine Learning Project.
-
A Web-app that can predict heart failure disease based on the features.
-
Perform EDA to understand and Visualize the data and perform feature engineering.
-
Implement three different alogorithms(Random Forest, Logistic Regression, XgBoost).
-
Create a Pipline of model that give us best results.
- These are my Deep Learning Projects that i have done using Python, TensorFlow and Keras.
-
Check my Github Repository to see all my work.