Best Machine Learning Training in Washington

SynergisticIToffers extensive Machine Learning training that deep dives into the core concepts of AI and Machine Learning. The training is designed for freshers and working professionals who aspire to become Machine Learning Engineers. We equip you with the most sought-after Machine Learning skills such as model deployment, data manipulation, linear regression, logistics regression, tableau, NLP, supervised, unsupervised learning, etc.Our theory sessions are followed by practical exercises like live project development and real-world case studies that give you hands-on exposure to Machine Learning. This Machine Learning training in Washington is an ideal learning path to fast-track your career.

Why choose SynergisticIT for Machine Learning Training ?

Founded in the year 2010, SynergisticIT is the most trusted Machine Learning Bootcamp in Washington.

We have the best Machine Learning faculty with 10+ years of industry experience.

Once enrolled, candidates can repeat any class at no additional cost.

We have built a vast client network with leading brands like Apple, Dell, Google,PayPal, Cognizant, etc. It enables us toplace our technically competent candidates in such renowned organizations.

Besides providing immersive Machine Learning training in Washington, we also offer career assistance. Our team prepares you for job interviews through mock tests, psychological assessments, and soft skill training.

Machine Learning Certification Training in Washington

When you complete your training at SynergisticIT, you willget a certificate to stay ahead in the competitive job market.

Signing up for our online Machine Learning training in Washington gives you access to our updated course material.

You will learn the best Machine Learning practices under the assistance of trainers.

Big Companies looking to hire Machine Learning Engineers

An overview of our Machine Learning Training

Our Machine Learning training in Washington is curated after deep market research. During the course, you will learn to managea hoard of structured-unstructured data, design, create and implement Machine Learning algorithms and make predictions. This training has different modules that start from the basic introductory level then move to advanced concepts.

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

Prospective careers in Machine Learning

Our Machine Learning training in Washington is a roadmap to different career paths, such as:

Machine Learning Engineer

AI Programmer

Data Scientist

NLP Scientist

Product Designer

Robotics Engineer

Research Scientist

Human-Centered AI Designer

BI Developer

Cybersecurity Analyst

Prerequisites for our Machine Learning Training in Washington

Even though our Machine Learning trainingdoesn’t require a priortechnical experience or background, it is advised to have familiarity with the following for a better understanding:

Linear Equation, Statistics, Algorithm, Data Structure, Histogram, Variables, and Calculus

Basic programming knowledge inPython, Java, or any other coding language

Machine Learning Training Bootcamp in Washington

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.

Frequently Asked Questions on Machine Learning

What is Machine Learning?

What are the applications of Machine Learning?

Why is Machine Learning so important for us?

Why should I learn Machine Learning?

Machine Learning is an exciting field to consider as per current and futuristic needs. It is a highly profitable career path. Be it Facebook feed or Google Navigation system, Machine Learning is widely used in applications in all aspects of our lives. It is an interesting and daunting concept which relies on Machine Learning. The importance of the field is vast and would be further in the years to come. So, the best Machine Learning training bootcamp can be a great place to begin a rewarding career.

What is the future for Machine Learning?

Machine Learning has an exciting future ahead for it. Currently, every domain is dominated by ML applications. Healthcare, search engine, digital marketing, education, and national security are some areas with a prominent use of Machine Learning. Machine learning is beneficial for a business or organization which is currently dependent on manual work. In the future, one can consider ML for accurate results for a search on web engines, tailor-made customization for customers, Quantum Computing, growth of data units, and fully automated self-learning systems.

Is there any course available for Machine Learning?

Is Machine Learning a good career?

Yes, certainly, Machine Learning is a good career path. As per Indeed, Machine learning is among the top jobs in salary, growth of postings, and general demand. A professional career in Machine learning can teach you about data, automation, algorithms, and programming to bring in the right career transition you are looking for. To make the right move, consider opting for Machine Learning training platforms.

want to learn AI and Machine Learning; where I can start?

Which are the best online courses for Machine Learning?

How can one become a good Machine Learning Engineer?

How does Machine Learning work?

What are the possible careers in Machine Learning?

How competitive is the Machine Learning job market?

Currently, computer and technology occupations rank the highest and most favorable jobs and are expected to grow by 11% by 2029 as per US Bureau of Labor Statistics. As per Glassdoor, Machine Learning salary on average in the US is around $118,875 per year, and some professionals earning more than $150k annually. Indeed, another popular job search portal entitles Machine learning engineering a highly popular and among the best jobs to look out for in the coming decade. Some famous names hiring Machine Learning professionals are Amazon, Adobe, Apple, Google, Lockheed Martin, Spotify, Zoom, Bank of America, and PayPal. So, considering a career through a Machine Learning bootcamp can be all you need to step on the career ladder.

Is Machine Learning still in demand?

Automation tools are an important aspect of Machine Learning, and engineers in the field are highly in demand. A majority of organizations are digitalizing tasks and operations and making the most of Data Science tools, Artificial Intelligence, and Machine Learning; the demand for professionals is high. So, considering a career through a Machine Learning training can give you the right assistance in learning techniques and technology highly in demand.

Can I teach myself Machine Learning?

Yes, it is possible to self-teach Machine learning through several online platforms. You would need to develop skills in Python programming, data analysis, deep learning, application of Machine learning onto projects, having fair knowledge of calculus, linear algebra, and probability. While this can take a lot of time, if you need a disciplined atmosphere and structured curriculum, then consider joining a Machine Learning bootcamp.

What should I be doing to build a career in Machine Learning?

Here are few steps to build a rewarding career in Machine Learning:

Understand the fundamentals
Learn Statistics
Learn Python or R (or both) for data analysis
Complete an Exploratory Data Analysis Project
Create unsupervised and supervised learning models
Understand Big Data Technologies
Explore Deep Learning Models
Undertake and Complete a Data Project

So, the best place to start learning and building a knowledge base is enrolling in the best Machine Learning Training course.

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.

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…

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…

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…