Repository containing portfolio of data science projects completed by me for self learning, and hobby purposes. Presented in the form of End to End Projects using Pycharm and few of them were implemented using Jupyter Notebook.
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Wafer Fault Detection: A Model to build a classification methodology to predict the quality of wafer sensors based on the given training data.
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Fraud Insurance Claim Detection : The objective of this project is to propose a real-time application to detect whether a customer is placing a fraudulent insurance claim.
Tools: scikit-learn, Pandas, Seaborn, Matplotlib, Flask, Pycharm
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Fashion Apparel Classification: A simple CNN model to determine different Categories of Fashion Apparel.
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Helmet Detection: A Model to detect whether a person is wearing a Helmet (or) not.
Tools: Tensorflow, Flask
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- Language Identification: In this project we will be doing language identification over six international lanuages i.e English, German, French, Espanol, Chinese and Russian. Here the user need to give recordings of the specific language as input and finally the input language will be predicted.
Tools: NLTK, scikit, Tensorflow, Flask
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- Python
- Diabetes Dataset - EDA: Analysing whether a person is a diabetic (or) not a diabetic.
- HR Prediction on Salary - Exploratory Analysis: Exploratory Analysis of the employees, and looking into various parameters that resulted in a Attriation over it's employees.
- Flight Price: Analysis of Flights flying behaviour, including change in price over time and the prediction of Prices.
Tools: Pandas, Seaborn and Matplotlib
- Python