π Iβm interested in:
Data Science and Machine learning,
particulary interested in Data Wrangling (Cleaning the data fascinates me),
Exploratory Data Analysis (Without this how can i Live)
and Mostly in the field of Classical Machine Learning (For Now)
π± Iβm currently learning and Working on:
Machine learning Models and Working on some capstone projects.
ποΈ Iβm looking to collaborate on:
Any data science and machine learning related projects
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Healthcare-Predicting-Diabetes-A-Data-Driven-Approach-to-Understanding-and-Treating-Chronic-Diseases
Healthcare-Predicting-Diabetes-A-Data-Driven-Approach-to-Understanding-and-Treating-Chronic-Diseases PublicThis project aimed to predict whether or not a patient had diabetes using data from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). The dataset included various medicaβ¦
Jupyter Notebook
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Movielens-Case-Study
Movielens-Case-Study PublicPerformed analysis using Exploratory Data Analysis technique.Found features affecting the ratings of any particular movie and build a model to predict the movie ratings.
Jupyter Notebook
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Mercedes-Benz-Greener-Manufacturing
Mercedes-Benz-Greener-Manufacturing PublicReduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal aβ¦
Jupyter Notebook
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Comcast-Telecom-Consumer-Complaints-Analysis
Comcast-Telecom-Consumer-Complaints-Analysis PublicThis project was completed as a part of assessment for Data Science with Python module. We used different Python libraries such as NumPy, SciPy, Pandas, scikit-learn and matplotlib to complete the β¦
Jupyter Notebook
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Customer-Service-Requests-Analysis.
Customer-Service-Requests-Analysis. PublicPerform data analysis of service request (311) calls from New York City. I have utilized data wrangling techniques to understand the pattern in the data and visualize the major types of complaints.
Jupyter Notebook
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