Contails the following projects
- Investment firm case study (EDA)
- Gilly Auto Regression analysis (Linear Regression, XGBoost)
- Telecom Churn Case Study (ML algorithms, RFE, model selection, etc.)
- Gramener Case Study
- HMM_based_POS_tagging_Viterbi: Build your own HMM-based POS tagger and implement the Viterbi algorithm using the Penn Treebank training corpus. Modify the Viterbi algorithm to solve the problem of unknown words using at least two techniques
- Resturant finder chatbot using RASA framework. Tensorflow as backend.
- Using CNN to classify the type of flower
- Detect anomalies in chest X-Ray scans using RSNet