Machine Learning, Business analytics with R Programming & Py

🚀 Course Title: Machine Learning, Business Analytics with R Programming & Python

🧠 Course Headline: Master Machine learning, Data Science & Business Analytics with R & Python - Transform Data into Decisions!

Course Description:

Dive deep into the world of Machine Learning (ML), Data Science, and Business Analytics with our comprehensive course that combines the power of R programming and Python. This course is designed for learners who are keen to understand the nuances of applied statistics, data visualization, and various ML models like PCA (Principal Component Analysis), Neural Networks, CART (Classification and Regression Trees), Logistic Regression, and more!

🔍 What You'll Learn:

• Real-World Application: Work with real data sets to build and handle ML projects, including image recognition.
• R & Python Mastery: Gain expertise in both R programming language and Python, using tools like RStudio and Jupyter Notebook.
• Hands-On Projects: Engage in multiple projects, code files, and assignments that will bolster your portfolio.

Upcoming Features:

• Deep Learning with Keras: The course is expanding to include Deep Learning with a focus on Image Recognition, stay tuned for updates!

🌟 Release Notes - 01 March:

• Deep Learning with Python & Keras:
  • Fundamentals of deep learning
  • Methodology and architecture of DL models
  • Activation functions like ReLU & Softmax
  • Introduction to Keras for model building
  • Build a Multi-layer perceptron for Image recognition using Python & Keras

📅 Release Notes - 30 November 2019 Updates:

• Python Machine Learning Fundamentals:
  • Introduction to machine learning with Python
  • Setting up your environment with Anaconda distribution and Jupyter notebook
  • Data analysis with NumPy & Pandas
  • Data visualization techniques with Matplotlib and Seaborn

📊 Data Visualization with Python:

• Master data visualization using Pandas, Matplotlib, and Seaborn.

Machine Learning Techniques with Python (In Progress):

• Multiclass Linear Regression with Python
• Logistic Regression with Python

🎉 Additional R Programming Insights:

• Visualization with R
• Applied statistics for ML
• ANOVA Implementation with R
• Linear regression with R
• Logistic Regression
• Dimension Reduction Techniques like PCA
• Tree-based ML techniques like CART
• KNN (K Nearest Neighbors) Implementation
• Naïve Bayes
• Neural network ML technique

🎓 Course Perks:

• Career Guidance: Receive expert advice to kickstart your career in data science.
• Portfolio Building: Complete over 10 projects that showcase your skills to potential employers or clients.
• Learn at Your Own Pace: Access the course content for a lifetime and work through it as fast or slow as you like.

Join us on this exciting journey to transform data into actionable insights with Machine Learning, Business Analytics, R Programming & Python! 🌟✨