ExcelR - Jumbo Pass - Machine Learning CourseExcelR Jumbo Pass Video - Machine Learning Course   You May Have Heard About Offers, But Have You Heard Of ExcelR's JUMBO PASS? Well, Here's Your Chance To Avail The JUMBO PASS!! Watch The video


Course Description

Machine Learning is a wide area of Artificial Intelligence focused in the design and development of an algorithm that identifies and learn patterns exist in data provided as input. AI is the catalyst for IR 4.0. This innovation will set an additional or a new approach of governing and managing organizations, particularly companies. The Artificial Intelligence course including deep learning course using Tensor Flow and Keras libraries in Python. Artificial intelligence is also a branch of Machine Learning and hence this program includes a Machine Learning course, which is sometimes also called as Data Mining Supervised Learning. Big Data Hadoop training e-learning is provided along with this deep learning course to ensure that handling images become easy. Master in Machine Learning workshop, Artificial Intelligence workshop and Big Data workshop as part of the AI and Deep Learning training. Our Artificial Intelligence course syllabus includes all the latest algorithms including ANN, MLP, CNN, RNN, LSTM, Autoencoders and many more and this course is considered to be best artificial intelligence course in this region. There are a lot of amazing Artificial intelligence jobs available and most of our students went on to join the fortune 100 companies. Entire machine learning training, big data training and artificial intelligence training is driven using live industry relevant case studies. What are you waiting for? Enroll now for the best Artificial Intelligence course and master the concepts in Artificial Intelligence eventually pioneering your career into the topmost AI companies.

Machine Learning Course Objectives

You will get an overview of how humongous amounts of data is being generated, how to draw meaningful business insights, techniques used to analyze structured and unstructured data, latest machine learning algorithms used to build advanced prediction models and how to visualize data. All these are learned from the perspective of solving complex business problems and making organizations profitable. Practical case studies which are industry relevant have been making our students stand out from the rest and achieve outstanding accolades from the best companies of the globe. Our students have been leaving new footprints in the corporate world by becoming industry-ready as soon as they graduate from colleges.

Machine Learning Training Requirements

Computer skills, basic Mathematics knowledge and knowledge of basic Data Science concepts.

Who Should Attend Machine Learning Course?

  • Candidates aspiring to be a Data Scientist, Big Data Analysists, Analytics Manager/Professionals, Business Analyst, Developer
  • Graduates who are looking to build a career in Data Science and Machine Learning
  • Employees – Organization is planning to shift to Big data tools
  • Mid-level Executives
  • Managers with knowledge of basic programming

Course Curriculum

Module 1 - Demo

  • Data Types
  • Random Variable
  • Probability
  • Probability Distribution
  • Sampling Funnel
  • Measure Of central tendency
  • Measures of Dispersion
  • Expected Value
  • Graphical Techniques
  • Introduction to R
  • R Studio
  • Introduction to Python (Installation basic commands)
  • Python & R Contd...Skewness & Kurtosis
  • Box Plot
  • Normal Distribution
  • Sampling Variation
  • CLT
  • Confidence interval
  • Intro to HT, 2 sample t test, 1 sample tests
  • Other parametric and non parametric tests
  • Scatter Diagram
  • Corr Analysis
  • Principles of Regression
  • Intro to Simple Linear Regression
  • Multiple Linear Regression
  • Principles of Logistic regression
  • Multiple Logistic Regression
  • ROC curve
  • Gain chart
  • Binomial
  • Neg Binomial
  • Possion
  • Poission
  • Neg Binomial
  • Models with Excessive '0's
  • Multinomial Regression
  • Decision Tree & Random Forest

Contact Our Team of Experts


Global Presence

ExcelR is a training and consulting firm with its global headquarters in Houston, Texas, USA. Alongside to catering to the tailored needs of students, professionals, corporates and educational institutions across multiple locations, ExcelR opened its offices in multiple strategic locations such as Australia, Malaysia for the ASEAN market, Canada, UK, Romania taking into account the Eastern Europe and South Africa. In addition to these offices, ExcelR believes in building and nurturing future entrepreneurs through its Franchise verticals and hence has awarded in excess of 30 franchises across the globe. This ensures that our quality education and related services reach out to all corners of the world. Furthermore, this resonates with our global strategy of catering to the needs of bridging the gap between the industry and academia globally.

ExcelR's Global Presence

Machine Learning Certification Training locations in Mumbai : A I staff colony [400029], Aareymilk Colony [400065], Agripada [400011], Airport [400099], Ambewadi [400004], Andheri [400053], Andheri East [400069], Andheri Railway station [400058], Antop Hill [400037], Asvini [400005], Azad Nagar [400053], B P t colony [400003], B.N. bhavan [400051], B.P.lane [400003], Bandra West [400050], Bandra(east) [400051], Bangur Nagar [400090], Bazargate [400001], Best Staff colony [400012], Bharat Nagar [400007], Bhawani Shankar [400028], Borivali [400091], Borivali East [400066], Borvali West [400092], C G s colony [400013], Central Building [400020], Century Mill Chakala Midc [400093], Chamarbaug [400012], Charkop [400067], Chaupati [400004], Chinchbunder [400009], Chinchpokli [400011], Churchgate [400020], Colaba [400005], Cotton Exchange [400033], Cumballa Hill [400026], Dadar [400014], Dahisar [400068], Danda [400052], Daulat Nagar [400066], Delisle Road [400013], Dharavi [400017], Dockyard Road [400010], Dr Deshmukh marg [400026], Falkland Road [400008], Girgaon [400004], Gokhale Road [400028], Goregaon [400062], Goregaon East [400063], Government Colony [400051], Gowalia Tank [400026], Grant Road [400007], H.M.p. school [400058], Haffkin Institute [400012], Haines Road [400011], Hajiali [400034], Hanuman Road [400057], High Court bulding [400032], Holiday Camp [400005], Irla [400056], Ins Hamla [400095], International Airport [400099], J.B. nagar [400059], J.J.hospital [400008], Jacob Circle [400011], Jogeshwari East [400060], Jogeshwari West [400102], Juhu [400049], Kalachowki [400033], Kalbadevi [400002], Kamathipura [400008], Kandivali East [400101], Kandivali West [400067], Kapad Bazar [400016], Ketkipada [400068], Khar Colony [400052], Kharodi [400095], Kherwadi [400051], Kidwai Nagar [400031], L B s n e collage [400033], Lal Baug [400012], Liberty Garden [400064], M A marg [400008], M.P.t. [400001], Madh [400061], Madhavbaug [400004], Magthane [400066], Mahim [400016], Malabar Hill [400006], Malad [400064], Malad East [400097], Malad West dely [400064], Mandapeshwar [400103], Mandvi [400003], Mantralaya [400032], Marine Lines [400020], Marol Bazar [400059], Masjid [400003], Matunga Railway workshop [400019], Mazgaon [400010], Mori Road [400016], Motilal Nagar [400104], Mumbai Central [400008], Mumbai[400001], N . s.patkar [400007], Nagardas Road [400069], Nagari Niwara [400065], Naigaon [400014], Nariman Point [400021], New Prabhadevi road [400025], New Yogakshema [400021], Noor Baug [400003], Null Bazar [400003], Opera House [400004], Orlem [400064], Oshiwara [400102], Parel [400012], Parel Rly work shop [400003], Prabhadevi [400025], Princess Dock [400009], Rajbhavan [400035], Rajendra Nagar [400066], Ramwadi [400002], Ranade Road [400028], Rani Sati marg [400097], Reay Road [400033], S R p f camp [400060], S Savarkar marg [400028], S V marg [400007], S. c. court [400002], S. k.nagar [400066], Sahar P & t colony [400099], Santacruz Central [400054], Santacruz P&t colony [400029], Santacruz(east) [400055], Santacruz(west) [400054], Secretariate [400032], Seepz [400096], Sewri [400015], Sharma Estate [400063], Shivaji Park [400028], Shroff Mahajan [400002], Stock Exchange [400001], Tank Road [400033], Tardeo [400007], Thakurdwar [400002], Tulsiwadi [400034], V J b udyan [400027], V K bhavan [400010], V.P. road [400052], V.W.t.c. [400005], Vakola [400055], Vesava [400061], Vidyanagari [400098], Vileeparle (east) [400057], Vileparle(west) [400056], Wadala [400031], Worli [400018], Worli Colony [400030], 400701[Navi Mumbai], 400602[Thane].

Call Us whatsapp