Best Machine Learning Training in Worcester

Best Machine Learning Training in Worcester

Our Machine Learning bootcamp in Worcester is designed to provide you with the necessary skills to develop predictive systems, implement Machine Learning algorithms, and extract valuable data. The training starts with fundamental Machine Learning concepts and then progresses to advanced topics. Participants gain practical experience in Machine Learning by working on coding tests, assignments, capstone projects, and case studies. Upon completion of this Machine Learning training in Worcester, you will be certified as a professional.

Job Options after Machine Learning Training

Machine Learning is the most sought-after technical skill that can help you secure lucrative jobs with higher salaries ranging from $75K to $180K per annum. Here are some rewarding career paths you can explore after pursuing Machine Learning training in Worcester:

  • Machine Learning Engineer
  • Business Intelligence Developer
  • Human-Centered AI Designer
  • Robotics Engineer
  • AI Programmer
  • Product Designer
  • NLP Scientist
  • Data Scientist
Job Options after Machine Learning Training

Big Companies looking to hire Machine Learning Engineers

Skills you will learn in our ML Training

Our Machine Learning Training in Worcester covers a comprehensive and organized curriculum encompassing all the fundamental concepts of Machine Learning, including but not limited to Deep Learning, Model Deployment, Data Analysis, Objects, NLP, Strings, and Data Manipulation. This well-structured training program is designed to equip you with the necessary skills to meet industry standards and transform you into a proficient Machine Learning Engineer.

Beginner’s - Artificial Intelligence, Machine Learning and Business Analytics

  • Business Analytics & Business Intelligence
  • How to Work in the Cloud Practical Session
  • Machine Learning & Artificial Intelligence

Advanced - Artificial Intelligence and Machine Learning

  • Decision Tree and Random Forest Algorithm
  • Naïve Bayes and KNN Algorithm
  • Support Vector Machine Algorithm

Deep Learning and Computer Vision

  • Natural Language Processing (NLP) & Text Mining
  • Sentiment Analysis using Text Blob Practical Session and Task
  • Recommendation System Project Session and Task
  • Natural Language Processing using NLTK Practical Session and Task
  • Market Basket Analysis Session and Task

Python and Statistics for Data Science

  • Python Introduction and Practical Task
  • Numerical Python Practical Session and Task
  • Matplotlib Data Visualization
  • Pandas Data Analysis

Data Manipulation: Cleansing – Munging

  • Cleansing Data with Python
  • Filling missing values using lambda function and concept of Skewness.
  • Data Manipulation steps like sorting, filtering, merging, appending, derived variables, formatting, etc.

Data Analysis: Visualization Using Python

  • Introduction exploratory data analysis
  • Descriptive statistics, Frequency Tables and summarization
  • Univariate Analysis
  • Bivariate Analysis
  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density)
  • Important Packages for Exploratory Analysis (NumPy Arrays, Matplotlib, seaborn, Pandas.

String Objects and Collection

  • String Object Basics and Methods
  • Splitting and joining strings
  • String Format Functions
  • List object Basics and Methods

Machine Learning-1

  • Introduction
  • Supervised, Unsupervised, Semi-supervised & Reinforcement
  • Train, Test & Validation splits
  • OverFitting & UnderFitting
  • Linear regression
  • R-square & adjusted R-square
  • Intro to Scikit learn
  • Training methodology
  • Hands on linear regression
  • Logistics regression
  • Precision Recall
  • Confusion matrix
  • ROC-Curve

Machine Learning-2

  • Decision tree
  • Cross validation
  • Bias vs variance
  • Ensemble approach
  • Bagging & boosting
  • Random forest
  • Variable importance

Machine Learning-3

  • XGBoost
  • Hyper parameter optimization
  • Random search cv
  • Grid search cv
  • Knearest neighbour
  • Lazy learners
  • Curse on dimensionality
  • KNN issues
  • Hierarchical Clustering
  • K-Means

Machine Learning-4

  • SVR
  • SVM
  • Naïve Bayes
  • Polynomial Regression
  • Ada Boost
  • Gradient Boost
  • Isolation Forest

Deep Learning

  • What is Deep Learning?
  • How do neural networks work?
  • Back propagation
  • ANN in python
  • What are convolutional neural networks?
  • Installing Tensor Flow & Keras
  • CNN in python
  • Activation function & Epoch

Natural Language Processing

  • NLP with Python
  • Sentiment analysis
  • Bags of words
  • Stemming
  • Tokenization

Tableau

  • Working with Tableau
  • Data organization
  • Creation of parameters
  • Advanced visualization
  • Dashboard data presentation

Model Deployment

  • Flask Introduction
  • Flask Application
  • Django end to end
Who can enroll in Machine Learning Training

Who can enroll in Machine Learning Training?

This Machine Learning training in Worcester is best suitable for people who want to specialize in Machine Learning. It does not demand any specific qualification or experience thus even freshers with no technical knowledge can sign up. This training is ideal for:

Graduates who aspire to launch a Machine Learning career

Professionals wanting to learn Machine Learning 

Data science professionals seeking to level up their ML skills

Non-IT professionals looking for a career transit

Why take our Machine Learning Training in Worcester ?

Our 12 years of industry experience enables us to provide end-to-end support for launching a Machine Learning career.  

We aim to provide personalized learning environment so each of our candidates can directly interact with the instructors.  

80% of our Machine Learning training in Worcester is based on hands-on exercises, which enables our candidates to gain real-world knowledge of using ML algorithms effectively.  

We prepare our candidates for job interviews through coding tests, technical mock tests, cognitive interviews, technical interview questions & asnwers, and soft skills assessments. Our team provides career guidance and assistance in preparing a marketable work portfolio.  

Why take our Machine Learning Training in Worcester

After completion of this training, candidates get job placement in top-tech organizations like Google, Dell, PayPal, Deloitte, Cisco, IBM, Cognizant, etc.

Get started with Machine Learning today, fast track your tech career. This online Machine Learning training provides a complete overview of Machine Learning methodologies, to prepare you well for your next occupation as a Machine Learning Engineer. Our instructors allot project work as well as assignments to help you gain some real-world exposure in Machine Learning. Let’s meet your career goals. SynergisticIT Home of the Best Data Scientists and Software Programmers in the Bay Area.

train to grow- Machine Learning

Frequently Asked Questions on Machine Learning

What Our Candidates Say About Us ?

Google Reviewer

A great company to further your career an grow as a developer. The management is amazing and you will have an opportunity to get certified in many ways. If you are on OPT, this is a great chance for you to learn about new technologies and gain valuable experience.

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Google Reviewer

Good place in terms of project, skills and level of knowledge attained. Treat you like kids sometimes. Took bootcamp in SF was unable to get a job and came to them on a friend’s referral. I am sure their results speak for themselves. All my peers and me and alumni had offers once we were…

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Minh Ho

Good place for anyone struggling to find a technology job with bigger name clients. I worked with them for some time like a year back or so and after my experience with them I had upgraded my coding skills to the standards of major it organizations. Synergisticit is in my opinion one of the very…

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Menglee Guy

Synergistic was the best decision I made for my career. I worked on multiple projects here. I learned lots of in demand skills relevant to this industry. I was able to obtain multiple job offers in this highly competitive market. Before I joined, I have applied at hundreds of places and maybe a handful would…

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