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Data Science and Machine Learning with Python

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Data Science and Machine Learning with Python

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Data Science and Machine Learning with Python

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Data Science and Machine Learning with Python online training in Bangalore is for folks who looking for high salary jobs in the competitive market of technology.  This course covers everything you need to know to master the subject Data Science and Machine Learning with Python.

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  • Description
  • Syllabus
  • Why Us?
  • Reviews (7)

Description

Data Science and Machine Learning with Python is a 60 hour long, Online Course. Our training is going to help you crack Job interviews by making you understanding the logic of all the algorithms, with loads of real time examples, hackathons and surprise tests. Join the best Online Training Institute in Bangalore and get trained on Data Science and Machine Learning with Python.

 

Process:

Prerequisites:

  1. Its an online course. A laptop or a desktop with minimum 6GB RAM and a Good internet connection is expected.
  2. Python programming and scripting knowledge is mandatory. Don’t worry if you are not aware of it. We can teach you that as well. Click here for more info.
  3. At least high school level math skills will be required.
  4. Anaconda installation. We will guide you through the installation process.

 

Learning Outcome:

This course will enable students to:

  1. Make predictions using Supervised and Unsupervised Learning Techniques.
  2. Classify data using Clustering techniques.
  3. Use regression and classification techniques.
  4. Understand reinforcement learning.
  5. Build Artificial Neural Network with Tensorflow.
  6. Deep Learning to perform sentiment analysis, image processing.
  7. Data Visualization Using Tableau.
  8. SQL using Python.

 

High level overview Module-wise:

  1. Installation and history.
  2. Mathematics with Python.
  3. Data Preprocessing.
  4. Regression and Classification Techniques.
  5. Clustering Algorithms.
  6. Association Rule and Reinforcement Learning.
  7. Natural Language Processing with Project.
  8. Artificial Neural Network with Project.
  9. Principle Component Analysis.
  10. Model Selection.
  11. Data Visualization using Tableau.
  12. SQL using Python.

 

View syllabus tab to see the detailed topic covered in this course.

Module 1: Installation and history

  1. Installation of Anaconda and other necessary libraries like Tensorflow.
  2. Brief history of Python, Data Science and Artificial Intelligence.

 

Module 2: Mathematics with Python

  1. Mean, Median and Mode.
  2. Probability Density Function.
  3. Percentile.
  4. Continuous, Normal, Exponential, Binomial and Poisson distribution.
  5. Probability Mass Function.
  6. Co-variance and Correlation.
  7. Conditional Probability.

 

Module 3: Data Preprocessing

  1. Importing Data sets.
  2. Working with Data sets.
  3. Fixing missing data issue.
  4. Fixing categorical data issue.
  5. Feature Scaling.
  6. Train Test Split.

 

Module 4: Regression and Classification Techniques

  1. Simple Linear Regression Technique.
  2. Multiple Linear Regression Technique.
  3. Polynomial Regression Technique.
  4. Tree Regression Technique.
  5. Random Forest Technique.
  6. Support Vector Regression Technique.
  7. K-Nearest Neighbor Classification Technique.
  8. Logistic Regression Technique.
  9. Kernel Support Vector Machine.
  10. Tree Classification Technique.
  11. Random Forest Classification Technique.
  12. Naive Bayes.

 

Module 5: Clustering Techniques

  1. K-Means Clustering.
  2. Hierarchical Clustering.

 

Module 6: Association Rule and Reinforcement Learning

  1. Apriori Rule.
  2. Upper Confidence Bound.
  3. Thompson Sampling.

 

Module 7: Natural Language Processing with Project

  1. Natural Language Processing with Project.

 

Module 8: Artificial Neural Network with Project

  1. History of Artificial Neural Network.
  2. Kick start with Tensorflow.
  3. Proceed with Keras.
  4. Project.

 

Module 9: Dimensionality Reduction techniques

  1. Principle Component Analysis.
  2. Linear Discriminant Analysis.
  3. Kernel Principle Component Analysis.

 

Module 10: Model Selection

  1. Model Selection using K-Fold Cross Validation.
  2. Model Selection using Grid Search.

 

Module 11: Data Visualization Using Tableau

  1. Understanding Data
  2. How to connect to Data Source: Types of Data Source
  3. Navigation
  4. Dimensions and Measurements
  5. Calculated Fields
  6. Color, Size, Detail, Labels, Formatting
  7. Learn how to create: Bar Chart / Heat Maps / Highlight tables / Pie Chart / Maps / Horizontal Bar / Tree Map / Line Chart / Dual Line Chart / Area Chart / Dual Axis Chart / Bubble Chart / Box Chart.
  8. Time Series
  9. Aggregation
  10. Filters and Highlighting
  11. Granularity
  12. Level Of Detail (LOD)
  13. Joining Data (Left, Right, Inner and Outer Join)
  14. Join duplicate values and/or multiple values
  15. Data Blending
  16. Scatterplot
  17. Create Dashboard
  18. Geographical roles
  19. Hierarchy
  20. Table Calculations
  21. Groups and Sets (Differences along with use case)
  22. Creating Bins and Distribution
  23. Advanced dashboard interactivity
  24. Create Story
  25. Data Preprocessing
    1. Formatting of Data
    2. Data Interpreter
    3. Pivot
    4. Splitting complex column into Multiple Columns
  26. Meta Data Grid
  27. Parameters
  28. Controlling Sets and Groups using Parameter
  29. Calculated Fields vs. Table Calculations
  30. Advanced Table Calculations
  31. Animations
  32. Data Analytics

 

Module 12: SQL Using Python

  1. Basic Database handling using Python

Why Us?

If you’re in this page, then you probably must be those set of folks who believe in “WHAT MORE CAN I GET FROM THIS INSTITUTE!”. And that’s why this page is meant just for those students. Its imperative that you would get trained by the best in the Industry within 60 days. But there’s more to that. You will get:

  1. FREE 6 months email support to all your questions, related to Python, including but not limited to Data Analytics, Data Science, Data Visualization.
  2. FREE project ideas and guidance.
  3. Exclusive membership to Procodetech Facebook group. Its a group of all students and professional, who are gathered to answer and ask questions, share their thoughts related to technology. This group has members who have over 15+ years of experience in IT.
  4. We help you Prepare for your On Campus InterviewsFREE of Cost. For process, please write to us at [email protected]
  5. Our Trainers are 10 years experienced IT professionals, working in MNCs like Dell, GE, Verifone, etc. They specialize in Tableau and related field.
  6. We believe in training students by making them understand the logic. We strictly maintain NO MUG-UP Policy, wherein, we make sure that the student isn’t mugging up the subject and instead understands it properly.
  7. 10% of your fees is donated to Old Age Home and 10% to Animal Shelter. We believe in Humanity.
  8. scholarship will be given to 1 student, whose tuition fee would be completely waived off. For details, please write to us at [email protected]

So overall, its a sure-shot, win-win situation for folks, who wants to learn Data Science and Machine Learning with Python the way it should be learnt and also get help with placements and Interview preparations.

7 reviews for Data Science and Machine Learning with Python

  1. 5 out of 5

    Thank you sooooooo much sir. i am Placed in Accenture research team. Thanks you sirrrrrr. best choice i made for 42000 rupees.

  2. 5 out of 5

    Best training by sir. Sir is very knowledgeable.

  3. 5 out of 5

    I must say it is very nice to attend sir’s class. Even though it is online class, sir makes me feel like we are in front of him. he sees all he knows all 😛 On a serious note, I am very happy with Procode tech and this training. I made a project and write a national paper with sir’s help. 😀

  4. 5 out of 5

    I have attended 40 classes now and so giving this review. Procodetech gave me 1 chance to take interview also already. i cleared 3 rounds but manager round i didnt clear. Fazeel sir said he will help me for that also. He is very patient with everybody in the session. He always clears everybody’s doubts.

  5. 5 out of 5

    PROCODETECH YOURE THE BESTTTTTTTTT. I CLEARED CODOT INTERVIEW YESTERDAY. MY PACKAGE IS 4 laks STARTING 1 YEAR PACKAGE. THANK YOU ABHIJIT SIR, FAZEEL SIR, ROHINI MAM. I COULDNT HAVE DONE IT WITHOUT YOU… LOVE YOU PROCODETECH

  6. 5 out of 5

    Hi procodetech,
    I would like to say that i have been given an offer from Deutsche bank after this course completion and your support. Sir/Mam, I am highly indebted to you all. My parents are very happy and i am also. Thanks procodetech for helping. me. I feel its the best 42000 i have spent in my life.

  7. 5 out of 5

    EAST or WEST procode tech is the bestttttt. Thank you thank you thank you thank yu sooooooo much procodetech. i got placedddd today in wipro. i am sooo happy… my starting package is 4.25 LAKHS PER ANNUM :D:D:D:D


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