Machine Learning with Python Course Overview

Machine learning is a subset of artificial intelligence that explains how software and application can become more efficient and effective in predicting outcomes without being programmed to derive the same. Machine learning teaches computers how to introduce new algorithms to their processing ability along with historical data in order to predict new output values.

Machine learning is making its way into a wide number of industries and businesses of all sizes, looking to accurately process information without designating specific resources to do the same as a result, professionals with coding ability around machine learning are widely sought after.

These professionals are able to craft bespoke learning solutions for businesses allowing them to process the kind of information they need with pinpoint accuracy and heightened speed. Completing this training is ideal for professionals looking to cultivate more relevant coding skills. Check out the dates below to enrol in this Machine Learning with Python Training course today.

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You will learn:

Module 1: Introduction to Machine Learning
  • Basics of Machine Learning
  • What and why Machine Learning
  • Applications of Machine Learning
  • Types of Machine Learning
  • Main Challenges of Machine Learning
  • Introduction to Scikit Learn
  • Features of Scikit-Learn
  • CONVENTIONS
  • IMPLEMENTATION STEPS
  • Vectors (2D,3D)
  • Dot Product
  • Hyperplane
  • Square, Rectangle
  • Hypercube
  • Data types and its measures
  • Random Variables,its application with variables
  • Probability-Application with examples
  • Probability distribution with examples
  • Sampling Funnel-why And how
  • WHAT IS STATISTICS
  • BASIC TERMINOLOGIES IN STATISTICS
  • TYPES OF STATISTICS
  • DESCRIPTIVE STATISTICS
  • MEASURE OF CENTRAL TENDENCY ( Mean, median, mode )
  • Measures of dispersion ( Variance,Standard Deviation,Range-its derivation )
  • Measures of Skewness & kurtosis
  • INFERENTIAL STATISTICS
  • Is your data clean?
  • What is Data Pre processing ?
  • Data cleaning techniques
  • Introduction
  • 2D Scatter-plot
  • 3D Scatter-plot
  • Pair plots
  • Univariate, Bivariate and Multivariate
  • Histogram
  • Box-plot
  • Variance, Standard Deviation
  • Median
  • IQR ( InterQuartile Range)
  • Introduction
  • Need for Feature Engineering in Machine Learning
  • Steps in Feature Engineering
  • Feature Engineering Techniques
  • Confusion Matrix
  • ROC Curve
  • Cross Validation in Machine Learning
  • K fold Cross Validation & Grid search
  • Linear Regression - Mathematical Intuition
  • Programming of Linear Regression in Python-scikit learn
  • Difference between regression and classification
  • Various Algorithms in Classification
  • Logistic Regression
  • Unsupervised Learning
  • Types of Unsupervised Learning
  • Applications of Unsupervised Learning
  • Introduction to Clustering Algorithms
  • Types of Clustering Algorithms
  • What is K-Means Clustering?
  • Implementation of K-Means Clustering
  • Improving Models
  • What is Association Rule Mining?
  • Algorithms in Association Rule Mining
  • Implementation of Apriori in Python
Live Online Training (Duration : 40 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

2050 + If you accept merging of other students.
4 Hours
8 Hours
Ultra-Fast Track
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1800 Per Participant
Online
12 - 16 Dec
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
16 - 20 Jan
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
06 - 10 Feb
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Course Prerequisites

There are no prerequisites for this Machine Learning with Python course. However, professionals with prior knowledge of foundational python programming and statistics will have the upper hand when grasping concepts.

The Machine Learning with Python training course teaches students the basics of machine learning using Python. The course introduces students to data exploration and allows them to discover a wide variety of machine learning approaches, including supervised learning, unsupervised learning, regression, classifications and more.

The Machine Learning with Python course also encourages students to practice visualizing data using Python and built-in libraries, including Pandas, Matplotlib and Scikit.

Key Features of Machine Learning with Python Certification Training Course

  • 5-day Instructor-led Machine Learning with Python Training
  • Get free access to 1-hour Machine Learning with Python course preview to better prepare for the training
  • Accredited Machine Learning with Python course material prepared by SMEs
  • Expert Machine Learning instructors across the globe
  • Get hands-on experience through Machine Learning with Python lab sessions
  • Widely acknowledged Machine Learning with Python Course Completion certificate provided
  • Machine Learning with Python training provided across 100+ locations globally

Who can take up Machine Learning with Python Training?

Individuals who can take up Machine Learning with Python online training include, but are not limited to:

  • IT Professionals
  • Technical Leads
  • Programmers
  • Software Developers
  • Machine Learning Engineers
  • Python Professionals
  • Business Analysts
  • Information Architects
  • Analytics Managers
  • Professionals looking to gain a thorough understanding of the Machine Learning with Python

Learning Objectives of Machine Learning with Python Training

This Machine Learning with Python course consists of eight modules with interlacing practical labs. The labs offer participants the opportunity to practically demonstrate the information shared over the training. The modules explored are;

  • Statistical Learning
  • Python for Machine Learning
  • Introduction to Machine Learning
  • Optimisation
  • Supervised Learning
  • Unsupervised Learning
  • Ensemble Techniques
  • Recommendation Systems

Upon completion of this Machine Learning with Python online course, professionals are equipped with a number of skills, including;

  • Building python programs including distribution, user-defined functions, importing datasets and more
  • Manipulating and analyzing data using the Pandas library
  • Visualizing data with Python libraries: Matplotlib, Seaborn and ggplot
  • Building data distribution models: variance, standard deviation, interquartile range
  • Calculating conditional probability via Hypothesis Testing
  • Performing analysis of variance (ANOVA)
  • Building linear regression models, evaluating model parameters and measuring performance metrics
  • Using Dimensionality Reduction
  • Building logical regression models, evaluating model parameters and measuring performance metrics
  • Performing K-means clustering and hierarchical clustering
  • Building KNN algorithm models to find the optimum value of K
  • Building decision tree models for both regression and classification problems
  • Using ensemble techniques like averaging, weighted averaging and max voting
  • Using techniques of bootstrap sampling, bagging and boosting
  • Building random forest models
  • Finding the optimum number of components/factors using scree plot and one-eigenvalue criterion
  • Performing PCA/Factor Analysis
  • Building appropriate algorithms with key metrics like support, confidence and lift
  • Building recommendation engines using UBCF and IBCF

Benefits of taking up Machine Learning with Python Training

  • Completing this Machine Learning with Python certification allows prospective employers to distinguish between qualified professionals and others.
  • The Machine Learning with Python certification validates an individual's skills giving them access to better starting salaries, better job benefits, better opportunities for career advancement and more versatile responsibilities in comparison to their non-certified counterparts.
  • The average salary of Machine Learning with Python certified professionals is in the range of USD 77,000 to USD 152,000 per annum.

Machine Learning with Python Exam Format

While there is no examination linked directly to this course, there are a number of examinations available on the market for students to validate their machine learning with python abilities.

An entry-level examination students can use to validate their python skills is offered by Microsoft. The 98-381: Introduction to Programming using Python could be a great way to demonstrate your skills with the python language to accompany the certificate offered after finishing the training.

There are a few examinations focussing on machine learning with Python. One variant consists of 126 questions to be completed over three hours. These examinations are often offered at a more intermediate level rather than entry-level like this course.

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FAQ's


In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
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We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Courseware
  • Testing Via Qubits
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
Yes.
No, it is not included.

This Machine Learning with Python course is perfect for;

  • Individuals interested in machine learning and how to maximize problem-solving
  • Software or data engineers looking to develop stronger quantitative analysis methods with Python
  • Professionals working in data analysis, economics or research fields

The cost of the Machine Learning with Python course is heavily contingent upon the location of the participant and choice of the learning method. On average, the cost for this Machine Learning with Python course at Koenig Solutions sits at USD 1100 for a 1-to-1 training and USD 450 for group training.

There is no direct examination for this Machine Learning with Python training program.

The duration of this Machine Learning with Python course varies based on the choice of learning method. At Koenig Solutions, we provide this Machine Learning with Python course is delivered as a 5-day instructor-led training. However, participants can take up this training as 5-day 8 hours per day training on weekends or 10-day 4 hours per day on the weekdays.

Completing this Machine Learning with Python certification allows professionals to make an average salary of USD 99,245 in a data scientist role or USD 97,708 as a python programmer. These are only two of the career paths available to certificate holders. Opportunities also present themselves in aerospace, finance, healthcare, travel, energy, manufacturing and gaming.

Participants who enrol for the Machine Learning with Python online training will get:

  • A copy of the Machine Learning with Python course material
  • Machine Learning with Python exercises developed by an expert trainer
  • Machine Learning with Python course completion certificate from an Authorized Microsoft Gold Partner

You can take up this Machine Learning with Python certification training course in multiple delivery modes that include:

  • Instructor-led classroom training
  • Instructor-led Live online training
  • 1-on-1 training
  • Fly-me-a-Trainer
  • Corporate/on-site training

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

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All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
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