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Machine Learning with Python Bootcamp

at Extensive Business Solutions Corp. - Midtown East

(5)
Course Details
Price:
$7,300
Start Date:

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Location:
Midtown East, Manhattan
845 3rd Ave 6th Fl
Btwn E 51st & 52nd Streets
New York, New York 10022
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Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 4
Teacher: Shivgan Joshi

What you'll learn in this data science course:

*** Bootcamp will only take place if a minimum of 4 attendees sign up.

Machine learning is going to disrupt a lot of industries in the next decade. Whether it be driverless cars, cashier-less shops, personal assistant or AI physicians, the effect of machine learning will be pervasive. 

Prepare for the next big disruption. This class assumes you don’t have any programming background. However, it is recommended to have a basic understanding in Python. Understanding of Pandas Python Library will help a lot. 

You will learn when to run supervised or unsupervised learning for your data, whether to use classification or regression model, how to handle categorical vs continuous data. After the data is ready you will learn how to split the data and analyze the final results. We will use a lot of images to delineate different terms and topics used in Machine Learning. Although we would use classical datasets like IRIS, Titanic, etc. but you will learn to scale and use your data for the models learned in the session.

Takeaways include developing basic vocabulary for:

  • Supervised vs Unsupervised Learning
  • Regression vs Classification models
  • Categorical vs Continuous feature spaces
  • Python Scikit-learn Library
  • Modeling Fundamentals: Test-train split, Cross validation(CV), Bias–variance tradeoff, Precision and Recall, Ensemble models
  • Interpreting Results of Regression and  Classification Models
  • Parameters and Hyper Parameters
  • Dimension Reduction
  • SVM, K-Nearest Neighbor, Neural Networks

Projects for the session (Python):

  1. Understanding and Interpreting results of Regression and Logistic Regression using Google Spreadsheets and Python
  2. Calculating R-Square, MSE, Logit manually in excel for enhanced understanding
  3. Understanding features of Popular Datasets: Titanic, Iris and Housing Prices
  4. Running Logistic Regression on Titanic Data Set
  5. Running Regression, Logistic Regression, SVM and Random Forest on Iris Dataset

Post Session Assessment:

  1. Top 20 machine learning interview question
  2. Small Project for Github
  3. Make data ready, choose and configure the correct model for your data
  4. Interpret results of your machine learning algorithm

What to Bring:

Laptop with minimum 8GB ram and Chrome installed on it.

Still have questions? Ask the community.

Refund Policy

  • If you enroll for a course that is scheduled to begin in under 7 days, you must request cancellation via email within the first 24 hours after enrollment in order to receive a full refund - less $50 processing fee.
  • For cancellations, we must receive a cancellation request or notice via email at least 10 days prior to the first scheduled session in order to issue a full refund – less a $50 processing fee.
  • You may also cancel 3 to 10 days prior to the first scheduled session and receive a 50% refund. 
  • If you cancel less than 3 days prior to the first scheduled session you will be required to pay the full amount for the course. 
  • All refunds will be processed within 30 business days. 

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Extensive Business Solutions Corp.

All classes at this location

Easy access from E, M, 6 train at Lexington 53rd Street, take 3rd Avenue 53rd Street Exit, then 1 min walk towards downtown.

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School: Extensive Business Solutions Corp.

Extensive Business Solutions Corp.

EBS Corp aims to empower executive-level, business, and working professionals with our technical
skills development programs. Our programs focus...

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