Nithin John

Background

About Nithin John

Having good hold on Machine learning algorithms like Linear and Logistic Regression, KNN, Support Vector Machines (SVM), Decision tree, Random Forest, Adaptive Boosting (ADA Boost), Extreme Gradient Boosting (XG Boost), K-Means Clustering, Hierarchical Clustering. • Skilled in libraries like Numpy,Pandas,Matplotlib,Seaborn,Scikit learn,Keras, Tensor flow and OpenCV. • Strong Mathematical foundation and good in Statistics. • Feature engineering in Python - Missing value treatment and outlier handling, transforming variables and reshaping data using python packages like Numpy, Pandas and Scikit Learn. • Good Knowledge of Deep Learning (DL) and ample hands-on with Neutral Networks, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). • Basic Understanding of Computer Vision techniques like Image pre-processing, Image Segmentation, Object detection, Object recognition etc. • Good knowledge of data visualization. • Basic understanding of web scarping by using beautiful soup library. • Good knowledge on understanding and visualizing the data using pandas, matplotlib, seaborn,lux and plotly libraries • Knowledge in Html and sql and mysql.