AI-powered Predictive Analytics with Neural Networks

Understand and Apply AI, Machine Learning, Deep Learning, and Neural Network Ecosystem and Concepts Introduction to Neural Network & 5 Vs of Big Data , Understanding the 6 Step Flow of AI Ecosystem - From Data to use Cases, Application of the 6 Step Flow of AI Ecosystem across sectors, Prerequisites to implement Neural Network models across sectors, Mitigating Data Integration Challenges for designing & implementing Neural Networks, Mitigating Data Quality Challenges for designing & implementing Neural Networks, Inside the Brain of AI: Demystifying Neural Network Architecture, Decoding Deep Learning: A Deep Dive into Neural Network through Simulation, Applications of different types of Neural Network based on data type- images , texts, videos,etc.

Design and implement end-to-end AI solutions leveraging ML, Neural Network,Deep Learning techniques Open Source Technologies for Neural Network, CoTS Technologies for Neural Network & Comparison between the two approaches, Installation and basic usability of Orange, Exploratory Data Analysis (EDA), Logistic Regression, EDA on Logistic Regression, Tree Based Models, Entire AI Flow including Neural Network & Other Models, Credit Scoring, Image Analytics, Text Analytics

Time Series Forecasting Time Series Analysis, Stationarity Test, Time Series Data Collection Process and Data Import using Orange Software, Understanding Data using Line Chart, Stationarity Test using Correlogram, Theory of ARMA and ARIMA, ARMA and ARIMA Test and Model Evaluation using Orange Software, Model Evaluation (Theory) and Analysis.