Project Portfolio
Computer Vision using CNN
Computer Vision using CNN
Computer Vision using CNN
This project aims at classifying a given fruit image from a class of 8 different fruits as rotten or fresh using convolutional neural network.
Tools used: Python, TensorFlow, Keras, Matplotlib, GitHub, AWS Elastic Beanstalk, AWS Code pipeline.
Key Topics: Data Preprocessing, Data Resizing and Rescaling, Data Augmentation, Prefetch and Cache, Model building with Conv2D, pooling and dense layers.
Advanced Regression
Computer Vision using CNN
Computer Vision using CNN
This Project aims at predicting housing prices in Ames City based on 80+ variables using advanced regression.
Tools used: Python, Pandas, NumPy, Matplotlib, Sklearn, AWS Elastic Beanstalk, AWS Code pipeline.
Key Topics: Data preprocessing, Data cleaning, Data manipulation, Missing value imputation, Data transformation and scaling, Model training (Regressors used - Linear, SVR, SGD , KNeighbors ,Gaussian, Decision Tree, Random Forest, Gradient Boosting & MLP), Hyperparameter tuning, Modular programming, Cloud Computing
MIT IDSS Course Projects
Computer Vision using CNN
MIT IDSS Course Projects
Projects completed as part of the certification for Data Science and Machine Learning with Massachusetts Institute of Technology.
Project Topics: Python and Statistics, Classification and Hypothesis Testing, Recommendation Systems
Key Topics: Cosine Similarity, K Nearest Neighbors (KNN), Singular Value Decomposition (SVD), Decision Trees, Random Forests