All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]

🎓 Master Machine Learning, Deep Learning, NLP & AI with Python on AWS: A Comprehensive Online Course for Beginners and Professionals!

🎉 Course Headline: Complete Hands-On Machine Learning Course with Data Science, NLP, Deep Learning, and Artificial Intelligence in Hindi 🚀

📘 What's Inside the Course?

Introduction to Machine Learning

• Understanding what Machine Learning is.
• Exploring the different types of machine learning: Supervised, Unsupervised, and Reinforcement.

Setup Environment

• Learn how to install Anaconda, navigate Spyder and Jupiter Notebook for your projects.
• Get hands-on experience with library installation and managing your Python environment.

Environment on the Cloud (AWS)

• Create your own EC2 instance on AWS.
• Connect to your cloud workspace and get comfortable with AWS services.
• Install libraries, transfer files, and execute Python scripts within AWS.

Data Preprocessing

• Master techniques for handling missing values, detecting correlated features, data modeling, imputing, scaling, and encoding data using Label Encoder and One-Hot Encoder.

Supervised Learning: Regression

• Dive into Simple Linear Regression, understanding the Cost Function and Gradient Descent.
• Learn about the assumptions of Linear Regression and how to use Dummy Variables.
• Discover advanced regression techniques like Multiple Linear Regression and Polynomial Linear Regression, and assess model performance with R-Square values.

Supervised Learning: Classification

• Explore Logistic Regression, K-Nearest Neighbors, and Naive Bayes classifiers.
• Understand how to save and load machine learning models.
• Learn to evaluate classification models using Confusion Matrices.

UnSupervised Learning: Clustering

• Get to grips with the K-Means Algorithm, hierarchical clustering, and DBSCAN.
• Discover methods for evaluating clustering performance, such as the Silhouette Index.

UnSupervised Learning: Association Rule

• Learn how to apply the Apriori algorithm and understand association rule mining.

Deploy Machine Learning Model using Flask

• Build web applications with Flask on AWS.
• Send requests and receive responses from your deployed ML models.

Non-Linear Supervised Algorithm: Decision Tree and Support Vector Machines

• Understand the workings of Decision Trees for both regression and classification tasks.
• Explore Support Vector Machines, including Soft Margin and Kernel Trick concepts.

Natural Language Processing (NLP)

• Learn text preprocessing techniques with Python code examples.
• Experiment with Tokenization, Stop Words Removal, N-Grams, Stemming, and Word Sense Disambiguation.
• Implement Count Vectorizer, Tfidf Vectorizer, and Hashing Vector for text data transformation.
• Complete a case study on building a Spam Filter.

Deep Learning

• Build Artificial Neural Networks from the ground up.
• Understand Forward and Backward Propagation mechanisms.
• Implement Gates in Python using the perceptron model.

Regularization, Lasso Regression, Ridge Regression

• Combat overfitting and understand the concepts of bias and variance.
• Learn about L1 & L2 Loss Function and how they relate to Lasso and Ridge Regression techniques.

Dimensionality Reduction

• Explore feature selection methods like Forward Selection and Backward Elimination.
• Delve into feature extraction with Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA).

Ensemble Methods: Bagging and Boosting

• Master Random Forest for both regression and classification tasks.
• Understand Gradient Boosting and its application in machine learning models.

🛠️ Who Is This Course For? This course is designed for beginners who are new to the world of Machine Learning, Data Science, NLP, and Deep Learning, as well as professionals looking to enhance their skills with practical knowledge and real-world applications using Python and AWS.

🌟 Why Join This Course?

• Hands-On Learning: Apply concepts in real projects through a series of exercises and case studies.
• Comprehensive Curriculum: Get a 360-degree understanding with detailed explanations and step-by-step guidance.
• Expert Instruction: Learn from industry professionals who are experts in Machine Learning, Data Science, NLP, and Deep Learning.
• Flexible & Accessible: Study at your own pace, on your schedule, with lifetime access to course materials.

🎓 Embark on your journey to mastering Machine Learning, Deep Learning, NLP, and AI with this all-inclusive online course today! 🌟