Advanced Data Science: ML, AI, GUI & VUI with Python

Description

"Comprehensive Data Science & AI Masterclass: Python, ML, GUI, AI"

Dive into a holistic learning experience with our all-in-one course covering Python essentials, advanced topics, and popular libraries like Numpy, Scipy, Pandas, Matplotlib, Seaborn, and Plotlypy. Delve into machine learning algorithms, including Linear Regression, Logistic Regression, SVM, K Means, KNN, Naïve Bayes, Decision Tree, and Random Forest, with practical case studies utilizing Scikit Learn.

Explore various machine learning types—Supervised, Unsupervised, Reinforcement Learning—and essential concepts like Train-Test Split, Machine Learning Models, and Model Evaluation. Immerse yourself in real-world applications with an in-depth case study on Artificial Intelligence for Unmanned Ground Vehicles (UGV).

Additionally, grasp the intricacies of interface development through Command Line Interface (CLI), Graphical User Interface (GUI), and Voice User Interface (VUI) using Tkinter. Understand Speech Recognition, Text to Speech, and Speech to Text, culminating in practical GUI and VUI projects.

This course not only equips you with technical skills but also emphasizes the importance of data analysis, data collection methodologies, and data visualization techniques using machine learning algorithms. It serves as an ideal launchpad for aspiring data analysts and AI enthusiasts, providing a comprehensive understanding of essential tools and methodologies in the field.

Enroll now and embark on a transformative journey, mastering Python, machine learning, AI, and interface development, paving the way for a rewarding career in the dynamic world of data science and artificial intelligence.

What You Will Learn!

• The course provides path to start career in Data Science , Artificial Intelligence, Machine Learning, Graphical User Interface and Speech Recognition
• Problem Solving Approach
• Impress interviewers by showing an understanding of the recent industrial trends
• Learn Python Basic to Advance Concept with Numpy, Pandas, Matplotlib, Seaborn, Plotly Library
• Scikit Learn Library in Depth
• Machine Learning Algorithms such as Linear, Logistic, SVM, KNN, K Mean, Naïve Bayes, Decision Tree and Random Forest
• Machine Learning Types Such as Supervise Learning, Unsupervised Learning, Reinforcement Learning
• Machine Learning concept such as Train Test Split, Machine Learning Models, Model Evaluation
• Case Study of Robotics (Unmanned Ground Vehicle)
• Speech Recognition
• Understand how you can create your own styles and use them in your applications
• Learn wide variety of widgets, such as Button,Canvas ,Checkbutton, Entry, Label, Listbox, Menubutton, Message, Radiobutton, Scrollbar, Toplevel, Spinbox, PanedWindow, LabelFrame
• Project on GUI and VUI such as Text to Speech, Digital Clock, Today's Day using Speech Recognition, Restart your Computer with Speech Recognition, Convert image to text and text to speech

Who Should Attend!

• The course is ideal for beginners, as it starts from the fundamentals and gradually builds up your skills in Machine Learning Algorithms, AI, Data Science, GUI, Speech Recognition, Python

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