Python With Data Science

Project Name: Data Enrichment and Analytics Pipeline Desc: Fetching the useful insights from the large datasets, like filtering/cleaning the data, filling the missing values, applying EDA Process and get bunches of visualizations and monitoring the data outcomes. Dataset will be given Topics covered with this project Exploring Numbers with NumPy • Introduction to NumPy and its importance in data science. • Unleash your math superpower with NumPy. • Data magic with NumPy. Data Preparation and Analysis • Loading and processing data for machine learning problems. • Gathering statistics from the data. • Advanced Pandas operations for data analysis. Data Visualization • Introduction to data visualization and its significance. • Different levels and types of data.