Having good knowledge on Machine learning, Deep learning, NLP, Artificial intelligence, Python, Pandas, Matplotlib, Basics of Scala & Spark, Pytorch, Numpy
• Machine learning
Algorithms such as Logistic regression, Linear regression, Decision Tree, Random forest, Naivebayes, K-means, K- median KNN & parts of Machine learning life cycle
• Deep learning:
Simple Neural Network, Deep Neural Network, Convolutional Neural Network,
Artificial Neural network, Keras & Tensor flow
• NLP:
Feature extraction techniques, Sentimental analysis using Polarity, Un supervised learning models using K-means & K-median for sentimental analysis
• Artificial intelligence:
Q learning using Bellman equation, Developing Chatbots using NLP & Google dialogue flow