- Neural Networks and Deep Learning
- deeplearning.ai, Coursera
- Python basics with Numpy, Logistic Regression with Neural Network mindset, Deep Neural Network for Image classification
- Data Science Orientation
- IBM, Coursera
- Data science, Artificial intelligence (AI), and Machine Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- deeplearning.ai, Coursera
- Hyperparameter tuning,Batch Normalizaiton, Mini-batch gradient descent, Momentum, RMSprop, Adam and Tensor flow tutorial.
- Structuring Machine Learning Projects
- deeplearning.ai, Coursera
- Diagonising errors, Size of train/test/dev sets, single number evalutation metric, avoidable bias, surpassing human level performance, transfer learning, end-to-end deep learning.
- Convolutional Neural Networks
- deeplearning.ai, Coursera
- Image classification with Convolutional Neural Networks and Residual Neural Networks, Car detection with YOLOv2, Art generation with Neural Style transfer,Face recognition with FaceNet.
- Sequence Models
- deeplearning.ai, Coursera
- Recurrent Nueral Networks, Character level Language modeling, Jazz improvisation with LSTM, NLP & word embeddings, Sentiment analysis, Nueral machine translation with attention, Trigger word detection.
- Machine Learning with TensorFlow on Google Cloud Platform
- Google Cloud, Coursera
- Ongoing
- IBM Data Science Professional Certificate
- IBM, Coursera
- Ongoing
- Statistics with R
- Duke University, Coursera
- Ongoing
- Machine Learning with Python
- IBM, Coursera
- Ongoing
Education
| Year | Degree/Certificate | University/Board |
|---|---|---|
| 2019 | M.SC. Computational Mechanics | RWTH Aachen University |
| 2014 | B.Tech. Mechanical Engineering | College of Engineering, Pune (COEP) |