Python-Training-with-Machine-Learning-and-AI-Applications-in-Chandigarh.pptx
Download as PPTX, PDF0 likes24 views
The document outlines a Python training course focused on machine learning and AI applications in Chandigarh. It highlights the benefits of using Python, covers key machine learning concepts, and provides an overview of tools and libraries used in data science and AI. The course includes hands-on experience, project-based learning, and job assistance, with details on delivery methods and instructor qualifications.
![Course Overview
Hands-on Python
Gain practical experience with the Python language.
Deep Dive into ML & AI
Explore machine learning and artificial intelligence
applications in detail.
Course Duration & Delivery
Course Duration: [e.g., 8 weeks]. Delivery: Online/In-
person (Choose accordingly).](https://image.slidesharecdn.com/python-training-with-machine-learning-and-ai-applications-in-chandigarh-250207045229-dd0dcc98/85/Python-Training-with-Machine-Learning-and-AI-Applications-in-Chandigarh-pptx-7-320.jpg)
Python-Training-with-Machine-Learning-and-AI-Applications-in-Chandigarh.pptx
- 1. Python Training with Machine Learning & AI Applications in Chandigarh Learn Python and apply Machine Learning & AI techniques in Chandigarh
- 2. Introduction What is Python? High-level language, known for simplicity. Widely used in web development, data science, machine learning, and AI applications. Why Python for ML & AI? Extensive libraries (e.g., TensorFlow, scikit-learn, PyTorch). Easy syntax and a large, supportive community.
- 3. Overview of Machine Learning & AI Machine Learning (ML) Algorithms that allow computers to learn from data without explicit programming. Artificial Intelligence (AI) A broader field focusing on creating machines that can simulate human intelligence.
- 4. Python in Data Science Data Science Basics Data analysis, data visualization, and statistical modeling. Python Libraries for Data Science NumPy: for numerical computations. Pandas: for data manipulation. Matplotlib/Seaborn: for data visualization.
- 5. Machine Learning with Python Supervised Learning Classification (e.g., spam detection) and regression (e.g., house price prediction). Unsupervised Learning Clustering (e.g., customer segmentation). Popular ML Libraries scikit-learn: for implementing various ML algorithms. TensorFlow/Keras: for deep learning applications.
- 6. AI Applications Using Python 1 Natural Language Processing (NLP) Sentiment analysis, language translation, chatbots. 2 Computer Vision Object detection, image classification.
- 7. Course Overview Hands-on Python Gain practical experience with the Python language. Deep Dive into ML & AI Explore machine learning and artificial intelligence applications in detail. Course Duration & Delivery Course Duration: [e.g., 8 weeks]. Delivery: Online/In- person (Choose accordingly).
- 8. Skills Gained 1 Core Python Python syntax, functions, and libraries. 2 Machine Learning Implement ML algorithms in real-world datasets. 3 AI Techniques Build applications like chatbots and recommendation systems.
- 9. Why Choose Our Training? 1 Experienced Trainers Industry-experienced instructors guide your learning. 2 Project-Based Learning Work on real-world projects to build a portfolio. 3 Job Assistance Resume building and interview preparation for career growth.
- 10. Thank You! Thank you for your attention! Address: SCO 23-24-25, Level 2nd, SEC 34-A, Chandigarh. Phone: 9988741983 , 0172-503-1983 https://www.cbitss.in/python-training-in-chandigarh/