Machine Learning using Python
Feel Confident-Our personalised and straightforward training techniques will make your learning experience enjoyable and fruitful.
About Machine Learning using Python
Data Science & machine learning is acclaimed as one of the best career opportunity with application in practically every sector of professional activities – e.g. commerce, manufacturing, IOT and robotics ,medical field, security to fashion .
Python has become number one choice for data science, Machine Learning & Artificial Intelligence applications. The training is a practical oriented, step-by-step guidance to Data Science using Python.
Objectives:
- Understand what is machine learning and its applications.
- Develop an appreciation for what is involved in learning models from data.
- Understanding of data science process and workflow.
- Understand process and need for data preparation & Data wrangling.
- Understand different types of learning algorithms.
- Understand various techniques of exploratory data analytics.
- Build models practically using python libraries.
- Using different evaluation metrics to test model performance.
- Optimise the models.
- Enhance model accuracy with advanced techniques.
- Learn to visualise the data and models.
- Model deployment.
Syllabus
Full Course
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Introduction to Machine Learning
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Relationship between Artificial Intelligence, Machine Learning, and Data Science
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Setting up the programming environment
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Introduction to Numpy
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Introduction to Scipy
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Basic statistics for Machine learning
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Pandas for ML- Basic Operations
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Data wrangling using Pandas
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EDA - Exploratory Data Analysis
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Data Visualization
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Python Machine learning with Sci kit-Learn
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Regression Analysis
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Regularization
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K - NN classification
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Naïve Bayesian classifiers
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SVM - (Support Vector Machines)
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Decision Tree
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Clustering
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Association Rule Mining
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Model Selection
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Hyper parameter tuning
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Time series modeling
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Dimensionality Reduction Techniques
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Ensemble Techniques
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Introduction to PyCaret
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Working with imbalanced data
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Explainable ML
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Deploy your model
Fees
for Machine Learning using Python
Despite having a world-class syllabus, material, and training, our fees are surprisingly low.
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Features
Industry aligned curriculum
Our course content continously goes through analysis and updation keeping in view the requirements of the industry. Acquiring relevant skills ensures your competitiveness and grossly improves employbility.
Immersive Training Experience
Training programs consist of compact video lessons to understand the concept and process, quizzes to evaluate your understanding, You may join the live interactive sessions with your instructor. To view the whole concept in action join the project walk through.
Projects and Assignments
Projects and Assignments help you deploy your understanding of the topics on a real world scenario.
Evaluation and Assessments
You are constantly evaluated and assessed based on quizze and assignments. This continous process of evaluation keep you at pace with other learners and encourages you to acheive your learning goals.
Testimonial
"The experience turned out great as I was able to learn a lot. Also it provided me a vision for future project aspects. The faculty members are helpful at every stage. I would highly recommend for the learners who wish to learn and explore more of tech."
Priyanshu Ranjan
Sr Software Developer
"Great experience and great teaching. All in all it was a great experience here. Teachers here are very knowledgeable and very encouraging. I did my python training over here and gained a lot from here. if you want to learn and work on something real ,this place is for you"
Arunish Sinha
Sr Software Developer
" It helped me understand programming from a different perspective and benefited a lot in my academics and project building skills. "
PREM PRAKASH HANSDA
IIT, Jabalpur