avimonda298 / bigdata-projects

Worked on diffrent projects 1. Mobile price segmentation 2. Walmart Market Data Visualization & Prediction 3. Bank fraud transaction detection 4. Chest X-Ray: Predict Pneumonia 5. Comparing Deep Learning Optimizers 6. China Air pollution forecasting

Bigdata-Projects

1. Mobile price segmentation Project Type: Unsupervised Learning Technique: Clustering

Project Description: In this project, I used K-means clustering algorithm in machine learning to detect Mobile price segmentation.

2. Walmart Market Data Visualization & Prediction Project Type: Supervised Learning Technique: Regression

Project Description: In this project, I used RandomForestRegressor and XGBRegressor regression algorithms in machine learning to detect sales prediction.

3. Bank fraud transaction detection Project Type: Supervised Learning Technique: Classification

Project Description: In this project, I used RandomForestClassifier, KNeighborsClassifier and GradientBoostingClassifier algorithms in machine learning to detect fraud

4. Chest X-Ray: Predict Pneumonia Project Type: Deep Learning Technique: Tensorflow, Keras, CNN

Project Description: In this project, I worked on CNN algorithm in deep learning to predict Pneumonia.

5. Comparing Deep Learning Optimizers Project Type: Deep Learning: CNN

Project Description: In this project, I worked on to compare Deep learning optimizers (Adam, RMSprop, Adadelta and SGD) in deep learning.

6. China Air pollution forecasting Project Type: NLP: LSTM, SimpleRNN and GRU

Project Description: In this project, I used LSTM, SimpleRNN and GRU algorithms in NLP for forecasting air pollution.