Ashok Y

Cascading Style Sheets (CSS) Java Structured Query Language (SQL) Logistic Regression NumPy Data Visualization Machine Learning/AI Algorithms: Linear Regression Decision Trees Random Forest Support Vector Machines (SVM) K-Means Clustering K-Nearest Neighbor's (KNN) Principal Component Analysis (PCA) Overfitting and underfitting Regularization Gradient Descent Reinforcement Learning Deep Learning: Artificial Neural Networks (ANN) Activation Functions Optimizers Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Long Short Term Memory (LSTM) Natural Language Processing (NLP) Encoder-Decoder Architectures Attention Mechanism Transformer Models Programming Languages & Tools: Python HTML PyCharm Jupyter Notebook Streamlit Tensorflow Libraries & Frameworks: Pandas Scikit-learn Matplotlib Nltk Data Handling & Preprocessing: Data Cleaning Feature Engineering Data Transformation Missing Value Treatment Data Normalization Linear Regression K-Nearest Neighbour’s (KNN) Overfitting Underfitting Gradient Decent Artificial Neural Networks (ANN) Python Pandas Data Cleaning