Machine Learning Bootcamp in NYC

Machine Learning Training in NYC

SynergisticIT is the best Machine Learning Bootcamp in New York City that encourages you to step ahead of basic programming and learn some groundbreaking ML algorithms. Our online Machine Learning course in NYC focuses on imparting practical skills and knowledge to solve real-world problems. This training allows you to develop a deep understanding of Machine Learning concepts, including data visualization, NLP, text mining, KNN Algorithm, data manipulation, data analysis, decision tree, random forest, tableau, model deployment, supervised and unsupervised learning.

Reasons to Start a Machine Learning Career

More Career Opportunities: Reportedly, Machine Learning as a Service will expand to $19.9 billion by 2025. As every industry is looking to apply ML and AI technologies, it will create massive demand for Machine Learning Engineers, Data Scientists, Cybersecurity Analysts, Data Mining Experts, Cloud Architects, and other related professionals. So, getting online Machine Learning Training in New York City can be a smart career move.

High-Paying Jobs: Needless to say, Machine Learning Engineers get lucrative offers. The average salary of a skilled Machine Learning Engineer in the US ranges from $75,000 to a whopping $180,000 per annum. It is the main reason why so many tech aspirants pursue a rewarding career in Machine Learning.

Machine Learning Training Bootcamp in NYC

Different Industries are using Machine Learning- With continuous advancements in Artificial Intelligence and Machine Learning, various sectors are looking to hire ML Engineers. Be it Healthcare, Education, Logistics, e-Commerce, or Transportation, Advertising, and Finance, all verticals heavily rely on AI and Machine Learning. Thus, if you get upskilled through Machine Learning training, you will have better chances to work in diverse sectors.

Dominant in the Real-World- Around 3.25 billion people use voice search assistants like Siri or Google, primarily based on Machine Learning algorithms. These numbers evidently show the significance of ML. Machine Learning streamline our life in a major way. Some real-world examples of Machine Learning applications are product recommendation, online fraud detection, email spam filtering, face recognition systems, traffic predictions, video surveillance, etc. If you get well-versed in Machine Learning, you will be able to bring a great impact on the world with such tech-driven solutions.

Big Companies looking to hire Machine Learning Engineers

The Curriculum of Machine Learning Training

When you enroll in this immersive Machine Leaning Training in New York City, you get lifetime access to extensive course material curated by our industry experts. The structurally designed curriculum of this training has different modules that upskill you in Machine Learning from beginning to advanced level.

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 is Eligible for this Machine Learning Training ?

Our training is designed for those people who want to build a successful career in the thriving Machine Learning industry. It is best suited for:

Information Architect

Business Analyst

Analytics Manager

Developers seeking to move into Machine Learning

Fresh college graduates or undergraduates with interest in AI & ML

Who-is-Eligible-for-this-Machine-Learning-Training
Prerequisites-for-enrolling-in-our-online-Machine

Prerequisites for enrolling in our online Machine Learning Training

Our Machine Learning training in New York City does not require any previous niche knowledge or experience. However, candidates need to meet the following requirements for a better learning experience:

  • Before enrolling, ensure you are comfortable with histogram, data structure, variables, statistics, algorithm, linear equation, calculus, etc.
  • Some programming experience in Python or Java can be helpful.

Careers after completing our Machine Learning Training

You will have endless career options once you complete the best Machine Learning Training at SynergisticIT. Here are some top positions you can pursue:

  • Machine Learning Engineer
  • BI Developer
  • Data Scientist
  • Research Engineer
  • NLP Scientist
  • Algorithm Engineer
  • Human-Centered ML Designer
  • Data Analyst
Machine Learning Training in New York City

Get hands-on practical knowledge of Machine Learning by working on live projects and case studies under the guidance of our seasoned instructors. When you join our Machine Learning Training in New York City, you get end-to-end assistance in learning the most relevant ML skills. By the end of this training, you will be placed in one of our top clients like PayPal, Google, Cisco, Deloitte, IBM, Apple, etc. Reach out to us and fast-track your career today.

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. SynergisticITHome 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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