Data-driven Decision Making

Dive into the fascinating realm of machine learning, where you'll master algorithms, data analysis, and the principles that drive artificial intelligence. AIML Course for Beginners with Python (Project-Based): 1. Introduction to AI and Machine Learning (2 hours): Understanding the basics of Artificial Intelligence (AI) and Machine Learning (ML) Overview of AIML applications and real-world use cases 2. Python Fundamentals for AIML (8 hours): Introduction to Python programming language Essential libraries for AIML: NumPy, Pandas, and Matplotlib 3. Foundations of Machine Learning (10 hours): Supervised vs. unsupervised learning Exploratory Data Analysis (EDA) using Python Introduction to scikit-learn for machine learning tasks 4. Introduction to Natural Language Processing (NLP) (7 hours): Overview of NLP and its role in AIML Text processing using Python's NLTK library Tokenization, stemming, and sentiment analysis 5. Building a Chatbot (10 hours) 6. Machine Learning Models (8 hours): Linear regression, logistic regression, and decision trees Model evaluation and validation techniques Hyperparameter tuning for model optimization 7. Introduction to Deep Learning (5 hours): Basics of neural networks Introduction to TensorFlow and Keras Building a simple neural network for AIML tasks 8. Project: AIML Chatbot Development (10 hours) 9. Testing and Evaluation (5 hours): 10. Project Showcase and Certification (5 hours)