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Machine Learning with Python

(2548 Ratings) 5487 Subscribers

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Includes:
  • 40 hrs interactive session
  • Live Instructor
  • Virtual classroom
  • Study Materials
  • Resume & Interview preparation

Career Opportunities

The business is transforming towards ML for almost all kinds of decision making. The average salary for a Machine Learning professional in India is around seven lakhs, and whereas in the US, it is approximately $ 1,12,000.
The future of Machine Learning seems very promising. There is a demand for 9000+ professionals who are trained in Machine Learning with Python open on the market and expect the numbers to rise in the near future.
Machine Learning is one of the most ardent career options today. The top companies like Apple, Google, Facebook, and much more are fastly growing their utilization of Machine Learning with Python domain.
Some of the most demanding Machine Learning job roles are Machine Learning Engineer, Data Scientist, Data Analyst, Machine Learning Scientist, Data Analyst, Data Architect, etc.

Curriculum

Section 1: Introduction to Machine Learning
  • Welcome
  • Introduction to Machine Learning
  • Python for Machine Learning
  • Supervised vs Unsupervised
Section 2: python 3.0 ( Crash Course )
  • Spark Databox's Master Python crash course - Self-paced vide training.
Section 3: Regression
  • Scikit-Learn
  • EDA
  • Correlation Analysis and Feature Selection
  • Correlation Analysis and Feature Selection
  • Linear Regression with Scikit-Learn
  • Five Steps Machine Learning Process
  • Robust Regression
  • Evaluate Regression Model Performance
  • Multiple Regression 1
  • Multiple Regression 2
  • Regularized Regression
  • Polynomial Regression
  • Dealing with Non-linear Relationships
  • Feature Importance
  • Data Preprocessing
  • Variance-Bias Trade-Off
  • Learning Curve
  • Cross Validation
  • CV Illustration
Section 4: Classification
  • Logistic Regression
  • Introduction to Classification
  • Understanding MNIST
  • SGD
  • Performance Measure and Stratified k-Fold
  • Confusion Matrix
  • Precision
  • Recall
  • f1
  • Precision Recall Tradeoff
  • Altering the Precision Recall Tradeoff
  • ROC
Section 5: Support Vector Machine (SVM)
  • Support Vector Machine (SVM) Concepts
  • Linear SVM Classification
  • Polynomial Kernel
  • Radial Basis Function
  • Support Vector Regression
Section 6: Tree
  • Introduction to Decision Tree
  • Training and Visualizing a Decision Tree
  • Visualizing Boundary
  • Tree Regression, Regularization and Over Fitting
  • End to End Modeling
  • Project HR
  • Project HR with Google Colab
Section 7: Ensemble Machine Learning
  • Ensemble Learning Methods Introduction
  • Bagging
  • Random Forests and Extra-Trees
  • AdaBoost
  • Gradient Boosting Machine
  • XGBoost Installation
  • XGBoost
  • Project HR - Human Resources Analytics
  • Ensemble of Ensembles Part 1
  • Ensemble of ensembles Part 2
Section 8: Clustering
  • Intro to Clustering
  • Intro to k-Means
  • More on k-Means
  • Intro to Hierarchical Clustering
  • More on Hierarchical Clustering
  • DBSCAN
Section 9: k-Nearest Neighbours (kNN)
  • kNN Introduction
  • Project Cancer Detection
Section 10: Dimensional Reduction
  • Dimensionality Reduction Concept
  • PCA Introduction
  • Project Wine
  • Kernel PCA
  • Kernel PCA Demo
  • LDA vs PCA
  • Project Abalone
Section 11: Real-time project
  • Machine Learning With Python project environment setup
  • Real-time Machine Learning With Python project
  • Project demonstration
  • Expert evaluation and feedback
Section 12: You made it!!
  • Spark Databox Machine Learning With Python certification
  • Interview preparation
  • Mock interviews
  • Resume preparation
  • Knowledge sharing with industry experts
  • Counselling to guide you to a right path in Machine Learning With Python career

About Machine Learning with Python training course

The best Online Machine Learning with Python course is here. By taking this course, you will learn the overall concepts of Machine Language and Python, discover how the statistical model correlates with Machine Learning and knowledge to develop algorithms with practical experience and training. To know right from the basic to advanced strategies of this domain, Spark Databox comprehensive training course will be the best one for you.

The Machine Learning with Python Training course will:
Offer you the in-depth Machine learning and Python, its underlying data structures, objects, and processes
Offer you the knowledge of Optimization supervised and unsupervised machine learning techniques
Learn primary statistics and machine learning fundamentals
Discover the utilization of Recommendation systems
Learn the current classifier algorithms slike Decision Trees, KNN, Random Forests, etc

Basic knowledge of programming knowledge and firm coding knowledge of Python is required. If you are familiar with statistics, it will be beneficial. We offer a lot of free and paid Python courses for you here

The Machine Learning with Python course is ideal for anyone aspiring to utilize Machine Language in real-world industry dilemmas. 

It is also suitable for Software Engineers, and Data Engineers who are curious about learning Machine Language will be profited by taking up this course.

Introduction to machine learning with Python

Machine learning is one of the most progressing new technologies to evolve in the current world, changing domains from customer sciences to retail. This has driven an intense concern about the field among many scholars and working experts.

Machine learning can transform the approach you work and lead your career to the following level. Still, as a diligent professional, you are also looking for a route to gain a firm understanding of machine learning, which not only meticulous and practical but also compact and lasting. Spark Databox machine learning with python online training course will help you reach your goals.

There are many excellent online training courses available to provide you a great start to machine learning. However, we have presented this learning way with the following goals:

Python-based: 

Python is a multi-domain, top-notch programming language profoundly chosen for its clear readability, a vast collection of libraries, and security. Python is considered as the most convenient language for data analysis and machine learning. If you wish to build a career in Machine Learning, then knowing Python language is a necessity as Machine Learning with Python has several benefits.

Python is one of the most generally used programming languages to develop machine learning operations. Most of the sources in this training track are represented from top-level Python consultations like PyData and PyCon, designed by profoundly perceived data scientists.

Hands-on study material: 

Numerous materials we have incorporated are hands-on tutorials that appear with programming code and real-time data kits that will assist you in gaining practical knowledge of the methods we will meet.

Compact and fast: 

Depending on the quantity of time you devote, you should be capable of achieving this in a few numbers of weeks, rather than taking so many months to complete most of the machine learning courses.

By the end of this training track, you will gain a good knowledge of machine learning, the most popular technique. Through hands-on training, you will discover how to execute original machine learning operations in Python. 

If you are at the beginning stage of Machine Learning with Python and desire to move from primary to advanced level to ignite your career in this domain, then this extensive training course from Spark Databox is precisely apt for you. You will uncover all the concepts of ML and Python along with Managed learning, learn how Statistical Modeling correlates to Machine Learning, and understand to develop algorithms with practical hands-on practices. Enroll soon and get lighted on a splendid career in Machine Learning.


Statistical Learning:
Learn the function of data as you develop notable patterns
Python for Machine Learning:
  Discover about the multiple libraries contributed by Python to handle, preprocess and reflect data
Fundamentals of Machine Learning:
Understand the Supervised and Unsupervised Machine Learning techniques
Optimization Methods:
Discover to use optimization methods to discover the merest error in your machine learning design
Machine Learning Algorithms:
Understand multiple machine learning algorithms such as Decision Trees, K-nearest neighbors, Support Vector Machine, and Clustering in detail
Framework models:
Develop a design utilizing algorithms to perform in situations using Python libraries like Scikit learn
Dimensionality Contraction:
Read the procedure to humiliate the number of variables utilizing Feature Selection and Feature Extraction
Neural Networks:
Learn Neural Network, implement them to analyze the image and conduct opinion report
Ensemble Learning:
Discover to utilize complicated learning algorithms to gain more reliable imminent performance

Machine Learning with Python Exam and Certification

At the end of the Machine Learning with Python online training course, candidates are supposed to work in a real-time
project with good results to receive the course completed certification. If the candidates fail to deliver good results on a real-time project, we will assist them by the solution for their doubts and queries and support reattempting the project. 

You are allowed to reattempt the Machine Learning with Python Online training course examinations as many numbers of times until you pass but with registration fees for the exams. 

If you slip in the first attempt, you can retake the exam after 30 days by paying the reattempt fees.

Yes, you can withdraw your enrollment if required. We will refund the course payment after deducting the administration fee.

You will receive Spark Databox globally certified Machine Learning with Python online course completion certification.

A professional certification or formal training will assist you in handling the applications more productively and efficiently than taking up information from freely available sources. A professional course will benefit you stand unique in the crowd. 


Provide a quiz for practice
Provide you with sample questions
Provide you with self-paced labs
Provide other additional study materials

Spark Databox provides the best training with real-world scenarios and the most reliable practice sessions. Working professionals with real-time experience handle our Machine learning with python training. Notably, the training classes will be held in the mornings and evenings, which is very accessible for you to attend the sessions at your own pace of time. Spark Databox Machine learning with python online training course helps the candidates to gain in-depth domain knowledge of each module that transforms the career to the succeeding level. 

Machine Learning with Python Job Opportunities

Once you are certified with the Machine Learning with Python Online Courses certification, you will have an abundance of career opportunities from which you can grasp with Spark Databox placement support rendered by the trainers as a part of the course training.

The primary applications of Machine Learning are as follows:
Machine learning in Education
Machine learning in Health Care
Machine learning in Search Engine
Machine learning in Digital Marketing

You will be provided placement and resume building assistance in Spark Databox. Upon successful completion of the course, candidates will be awarded a course completion certificate along with the certificate of practical training Achievement from Spark Databox. With industry partners on-board, we will ensure you have all the support you require to secure a job.

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
13-Dec-19 10-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat
14-Dec-19 11-Jan-20 (09:30 PM - 12:00 AM) Sat-Sun
16-Dec-19 13-Jan-20 (09:30 PM - 11:00 PM) Mon-Fri
17-Dec-19 14-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat
20-Dec-19 17-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.

Reviews

Taking courses with Spark Databox has been an excellent and satisfying experience. The contents of the course are up-to-date, and the instructors are well trained and hard working. Spark Databox redefines the style online training is managed by presenting it as professional and feasible, with complete attention and detailing, packed into the unique practical classrooms. Thank you Spark Databox!

Gopinath Baskar
Senior Manager

Spark Databox is a great platform for online training. Their course curriculum is extensive and up to date. We gain lifetime access to the recorded sessions if we wish to refresh our knowledge. If you are looking to upskill, I recommend you go for Spark Databox. They extend classes in virtually all restraints.

Ram Prakash
Data Scientist

Spark Databox possesses an unbelievable mentorship and marvelous and dedicated lectures. Spark Databox offers an excellent way to learn with self-paced recordings and videos of online sessions. Thanks, Spark Databox, for presenting quality training.

Shri Mukesh
Vice President

I took the Machine Learning with Python course with Spark Databox. The instructor is knowledgeable and bestows their skills and knowledge. My learning experience has been exceptional with Spark Databox. The practice labs and study materials are beneficial for better training. Thank you, Spark Databox. Happy Learning!

Vishnu Vardhan
Data Scientist

I recently registered in the Machine Learning with Python Program at Spark Databox. The syllabus is orderly structured, and the live sessions are explained with real-life instances. This makes the training more convenient for freshers with basic knowledge. I am looking forward to achieving it. Thanks, Spark Databox Team.

Surendhar Dharma
Software developer

Thanks a lot, Akash, for the extensive support and guidance throughout the training, and your patience while smoothly helping me retaliate both small and big obstacles. You possess excellent and in-depth knowledge about Python and the alternatives you taught me. I'm happy to share my feeling about my experience.

Magesh Kumar
Solution Architect

I had joined the Machine Learning with Python certification training from Spark Databox. The course content was excellent. The trainer puts in a lot of hard work and effort into explaining every aspect, which made the training very engaging. The customer support is available 24/7. I really feel one step ahead of my aim. Thank you.

Shwetha Sri
Data Scientist

The courses provided by Spark Databox was extremely informative and very well manifested. It was remarkably easier to understand. Many complex concepts were explained clearly. It increased my confidence in programming skills.

Samima Banu
Project Manager

The instructor was excellent. His view of teaching was precise and to the point. The course is planned correctly out with decent structure — altogether an all-embracing learning experience. Cheers. Keep up the excellent work, Spark Databox.

Vivek Yadav
Python Developer

I relished the course and learned a lot about how we can implement various Machine Learning techniques utilizing scikit learn. I will be performing all the methods we covered in this course and will start implementing them on my projects. Thank you, Spark Databox, for providing valuable material that is of great help.

Vignesh Kiran
Python programmer

FAQs

Every training session will be recorded, and access will be provided to all the videos on Spark Databox's state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you have the other option to grasp the dropped session in any different live batch.
Machine Learning with Python is open-source; a free tool which will benefit individual professional and those who prefer MI platform from Online Training course provider. If you are drawn towards Machine Learning and desire to develop a career in this domain, then the training course will be highly beneficial.
All of our profoundly qualified trainers are industry experts with years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved for the training session. We also assure that only those trainers with high alumni rank continue to train candidates.
Our coaching assistants are well-experienced partners of industry experts to support you get accredited in your first endeavor. They involve learners to take part actively to assure the candidates are successfully following the course sessions to help enhance your learning activity, from class onboarding to project training and job assistance.