Best Machine Learning Training in Grand Rapids

Best Machine Learning Training in Grand Rapids

SynergisticIT's Machine Learning Training in Grand Rapids can open a world of opportunities for you in the tech sector. Our hands-on training gives you a practical understanding of the concepts and lets you apply the skills in your ML role. The training is imparted by learned professionals in an immersive environment through lectures, real-life examples, and case studies. Once you complete the Machine Learning training in Grand Rapids, you will be able to work as a machine learning professional in any industry.

Who Is Eligible For Our Machine Learning Training?

Curated by experts, we make sure our Machine Learning Training in Grand Rapids gives benefits to every learner. From freshers to experienced, all can take our Machine Learning training to set up their careers.

  • Fresh graduates/Post graduates
  • Software Developers
  • Data analysts/scientists
  • Big Data experts
  • Non-IT professionals
Who Is Eligible For Our Machine Learning Training

Big Companies looking to hire Machine Learning Engineers

Machine Learning Training Course Overview

With our paced training, we cover every fundamental machine-learning skill. Plus, we cover advanced concepts through capstone projects, real-life problem-solving, and case studies. Some of the topics covered in our Machine Learning Bootcamp are data analysis, data manipulation, data visualization, model deployment, NLP, text mining, random forest, KNN Algorithm, decision tree, tableau, etc.

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

Why Should You Pursue A Machine Learning Career?

The pay is great: Certified machine learning professionals are paid the best salaries in the industry. A machine learning engineer earns an average salary of $155290 per year. With experience and skills, your annual pay will increase.

Future-proof career: Machine learning is a skill of the future. Its industry is expected to grow by $152.24 billion by 2028. So, with ML skills, you will secure your future and ensure a long-term career.

Solve real challenges: The ML career allows you to solve real-life problems and find solutions. Due to this, it's an interesting career option that never fails to excite you. You always have something new to work on.

Career Paths in Machine Learning

Work at top IT companies: Machine Learning solutions are becoming a core part of many organizations, including Google, Adobe, eBay, Apple, Airbnb, etc. By learning ML skills, you get a place for yourself in these companies.

Plenty of career options: The career options for ML learners are abundant. After completing machine learning training in Grand Rapids, a fresher can join an organization as an AI associate, Computer Vision, and Machine Learning Engineer.

Job opportunities: Machine learning graduates have excellent career prospects. After completing a machine learning course, you can join an organization at the entry level. Experienced professionals can get opportunities in mid and senior-level profiles.

Career Paths in Machine Learning

Career Paths in Machine Learning

Machine Learning Training Bootcamp in Grand Rapids can make you competent to work in various profiles in machine learning such as:

  • Machine Learning Engineer
  • Data Scientist
  • BI Developer
  • AI Programmer
  • Algorithm Engineer
  • Human-Centered AI Designer
  • Cybersecurity Analyst
  • Data Analyst
  • Robotics Engineer
  • NLP Scientist

Get started with Machine Learning today, and 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 to Machine Learning. Let’s meet your career goals. SynergisticIT Home of the Best Data Scientists and Software Programmers in the Bay Area.

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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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