Data Science is a method of huge data analysis that automates analytical model building. It is a branch of artificial intelligence. Lot of opportunities is out there in field of ml and AI in India. People already using ml in field of image processing, pattern analysis, marketing, data analysis having pretty good future in India. The Machine Learning sessions provide the participants technical training on the concepts and Machine Learning algorithms to develop the code. Participants will also learn to use different Python libraries. Instruction cum aided with live projects which will allow students to grasp concepts of the complete data science development life-cycle.
Technologies and Tools Covered
- ANACONDA NAVIGATOR & NUMPY
- PYTHON PROGRAMMING LANGUAGE
- PYTHON PACKAGES/ LIBRARIES
- SVM and NN ALGORITHMS
- Python Programming and Numpy
Python a Powerful language and user friendly and its mostly used for most of the applications like Machine Learning, Deep Learning, Internet of Things, Block Chain. This session helps the participants to completely work on Python Programming and python libraries/ packages which are mainly used in the machine learning.
|1||Basics of python programming|
2. Data Science and Algorithm Development
|1||Introduction to Google Colab Notebook, Basic Library Packages|
|2||Introduction to Numpy, Pandas and its Working|
|3||Introduction to Matplotlib, OpenCV and its Working|
|4||Introduction to Skitlearn, Keras and TensorFlow|
|5||Building an SVM (ML Algorithm) and Artificial Intelligence Neural Network|
The Program is mix of Theory sessions, Hands on Sessions, Liver Interaction with Experts, Assignments and Practical Exercises. Maximum Impetus is given to Hands on Sessions so as to enable the participants with the maximum knowledge transfer and satisfaction. The ratio of the theory, practical sessions will be 30:70.
● Code with Explanations
Learn everything about data science using python programming and neural network algorithms, with a well-structured curriculum & detailed explanation of the code.
Work on various assignments which will be graded by our Trainer.
Solve real world problems as part of projects and receive valuable feedback from our trainer.
Numpy, pandas, matplotlib, seaborn, cv2
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