Hey, I'm Dhaval
- I enjoy working with machine learning!
- I'm always looking for opportunities to expand my knowledge and skills in this field.
- Over the past few years, I have attained a wealth of experience in ML/DL through working on projects as part of the university courses, specializations from Coursera, and research assistantships.
ML-related coursera-certifications
- Deep Learning Specialization: http://coursera.org/verify/specialization/JB98GKBMJXWF, 2020
Course Name | |
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1 | Neural Networks and Deep Learning |
2 | Structuring Machine Learning Projects |
3 | Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization |
4 | Convolutional Neural Networks |
5 | Sequence Models |
- Fundamentals of Reinforcement Learning: https://www.coursera.org/account/accomplishments/certificate/SVAY32SJ49XL, 2022
I'm proficient with:
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Python
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Probability and Statistics
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Linear Algebra
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Machine Learning Algorithms: Linear Regression, Lasso and Ridge regularisation, Logistic Regression, Decision Trees, Naive Bayesian Model, K- Nearest Neighbors, Support Vector Machine, Random Forest, Ada Boosting, Gradient Boosting — GBM, XG Boost, Neural Network — ANN, CNN, RNN, LSTM & GRU, Bert, Transformer, K-Means clustering, Hierarchical clustering — Agglomerative and Divisive, DBSCAN
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Programming: Python: NumPy,Scipy , Pandas, Matplotlib, Seaborn, Sklearn, cv2, nltk and spacy, TF or Pytorch, Hugging faces — Transformers, SQL