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Hi, 👋 My name is Pavankumar Goli

GenerativeAI(GenAI) | Data Scientist | Python | Machine Learning Engineer | Deep Learning | Artificial Intelligence (AI) | NLP | Computer Vision | OCR |

High-performing Data Scientist with 11 years of experience in building Artificial Intelligence/Data Science solutions using Machine Learning, Deep Learning, Natural Language Processing (NLP), OCR, and Recommender Systems

Tools | Frameworks

Python, Machine Learning, Deep Learning, Artificial Intelligence (AI), Natural Language Processing, NLP, OCR, Recommender Systems, Data Analytics, SQL, VBA, Advanced Excel, Microsoft Azure, AWS, Abbyy FineReader (OCR Engine), and Tableau.

Data Preprocessing: NumPy, Pandas.

Machine and Deep Learning Implementation Framework: Tensorflow, Scikit-Learn, PyTorch.

Natural Language Processing: NLTK, BERT.

Data Visualization: Matplotlib, Tableau, Seaborn.

Cloud Services: AWS, Google Colaboratory, Kaggle kernel.

Integrated Development Environment: VS-Code, Jupyter-Notebook, PyCharm.

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Pavankumar Goli's Projects

stochastic-gradient-descent-linear-regression-on-boston-house-price-data icon stochastic-gradient-descent-linear-regression-on-boston-house-price-data

Implemented Stochastic Gradient Descent linear Regression on Boston House Price Data. Here we have also implemented SGD using python code. At last we are comparing the weights obtained by Sklearn's LinearRegression with Sklearn's SGDRegressor along with our own python implementation of SGDRegressor.

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