Hands-on Training:- Data analysis using Numpy and Pandas, with data visualization using Matplotlib and Seaborn.- Utilized Power BI for business intelligence and data analysis.- Applied machine learning algorithms, focusing on regression and classification techniques

10K AI Engineer Training Program:- Introduction to AI: Explored the new era of AI, covering its fields, and understanding the differences between types of machine learning and their applications.- Python Programming: Learned Python and developed packages.- Exploratory Data Analysis (EDA): Performed EDA using NumPy, Pandas, and Matplotlib to analyze the Airbnb dataset.- Data Preprocessing: Includes data cleaning (handling missing values, outliers, and categorical data) and feature engineering (selection and extraction).- Supervised Learning: Applied regression and classification techniques to build a simple AutoML data app with streamlit.- Unsupervised Learning: Implemented clustering and dimensionality reduction methods for customer segmentation.- Neural Networks: Developed models using NumPy, PyTorch, and TensorFlow for market segmentation.- Image Processing: Utilized OpenCV for image processing tasks like National ID card recognition.