• whoami A Master student at University at Buffalo
• uptime 23 years
• pwd Buffalo, New York
• ps -a Currently learning ML and DL concepts as well as Computer Vision Techniques.

• ✅ Python (Numpy, Pandas, Sklearn, Keras, etc.)
• ✅ NLP (Word2Vec, TF-IDF, BERT, GloVe, GPT, etc.)
• ✅ R
• ✅ SQL
• ✅ Tableau

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1. aniket_maheshwarianiket_maheshwariPublic

   Portfolio Website

   HTML 1

2. Human-Activity-RecognitionHuman-Activity-RecognitionPublic

   Human Activity Recognition using smartphones sensor

   Jupyter Notebook

3. Quora_Similarity_QuestionsQuora_Similarity_QuestionsPublic

   Performing NLP, Linear SVM , Logistic Regression and XGBoost on Kaggle's Quora Similarity Pair Dataset

   Jupyter Notebook

4. Personalized-Cancer-DiagnosisPersonalized-Cancer-DiagnosisPublic

   Implemented Naïve Bayes, KNN, Logistic Regression, Support Vector Machines and Random Forest Models with one-hot encoding and response coding.

   Jupyter Notebook

5. Medical-Insurance-CostMedical-Insurance-CostPublic

   Implementing Linear , Ridge , Lasso Regression and Random Forest Regressor on Medical Insurance Cost dataset to predict the cost.

   Jupyter Notebook

6. Plant-Disease---Streamlit-DeploymentPlant-Disease---Streamlit-DeploymentPublic

   Jupyter Notebook 1