Machine Learning Specialization
Machine Learning algorithms are the backbone of Predictive Modelling. This is where the Crux of Data Science lies. The end objective of solving a data science problem is finding the patterns in the data and represent that in the form of a Data model. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.
LEARN
- The Machine Learning Landscape
- Linear & Logistic Regression
- Regularization
- Training Models
- Support Vector Machines
- Decision Trees
- Ensemble Learning and Random Forests
- Dimensionality Reduction
- Unsupervised Learning Techniques
- End-to-End Machine Learning Project
FEATURES
- Instructor led onlineΒ LIVE session for entire course duration
- Small batch sizeβ Personalized attention
- Highly Interactive sessions (Two way participation β Chat and Speech)
- Highly experience and Qualified Trainers [Analytics experts, 10+ years industry experience (IITians)
- In-depth case study discussion β Domain Specific Projects
- Lifetime Access to SessionΒ RecordingsΒ &Β Case studies through Learning ManangementΒ Portal
- Career guidance and Placement Assistance
- Course Completion Certification
- Highly approachable faculty β 24*7 support available
- Reattend LIVE sessions -If you miss a Lecture due to some reason
LEARNING OUTCOMES
- Understand the fundamentals of machine learning, Superevised and Unsupervised Algorithms and Mathematics behind it.
- Ability to design, choose and implement different Machine Learning algorithms to solve real world problems.
- Ability to optimize the Data model using various techniques like tuning hyperparameters, curve fitting etc.
DEMO VIDEOS
COURSE DURATION
60 hours
SESSION TIMINGS
[geot_filter country=”IN” ]
Weekends β 6 hours
9.30 PM IST to 12.00 PM IST
[/geot_filter][geot_filter country=”US” ]
Weekends β 6 hours
9.00 AM ET to 12.00 PM ET
[/geot_filter][geot_filter country=”CA” ]Weekends β 6 hours
9.00 AM ET to 12.00 PM ET
[/geot_filter][geot_filter country=”AU” ]
Weekends β 6 hours
9.00 AM AEST to 12.00 PM AEST
[/geot_filter][geot_filter country=”NZ” ]
Weekends β 6 hours
9.00 AM AEST to 12.00 PM AEST
[/geot_filter][geot_filter region=”europe” ]
Weekends β 6 hours
9.00 AM CEST to 12.00 PM CEST
[/geot_filter]
CURRICULUM
Machine Learning [LIVE 55 hours]
Python is a critical tool for Data Science.Β In this module participants learn Python programming from basic to advanced level usingΒ Jupyter notebooks. Here, participants create, subset and manipulate various data structures. Specific libraries likeΒ NumPy, Pandas andΒ Matplotlib that are popular for Data Analysis are covered in depth.Β
- Introduction to Supervised and Unsupervised Learning
- Linear Regression with Multiple Variables
- Logistic Regression
- Decision Trees [CART]
- k-Fold Cross Validation
- Bagging and Bootstrapping
- Random Forest
- Gradient Boosting (XGBoost)
- Principal component Analysis
- K-means clustering
- Hierarchical Clustering
- Market Basket Analysis
- KNN
- Support Vector Machine
- Naive Bayes
- Time Series Analysis
Machine Learning [ RECORDED ]
By this time the Machine Learning fundamentals are known and participants understand how to decipher data science problem, find patterns in the data and represent that in the form of a Data model. The focus shifts to learning few more algorithms and providing you more tools to take on the Data Science problems.
- REGULARIZATION
- SUPPORT VECTOR MACHINES
- NAΓVE BAYES
- TEXT ANALYSIS
- TIME SERIES ANALYSIS
CASE STUDIES
- Predicting wine quality
- Healthcare Budget estimation for an Insurance company
- Predicting the quality of healthcare
- Predicting hotel demand
- Creating a recommendation system for movies
- Sentiment Analysis on Tweets from Apple to gauge customer perception
- Predicting the quality of healthcare using Analytics
- Predicting the demand in hote
TEACHING METHODOLOGY
- Personalized attention
- LIVE instructor-led training throughout the training duration
- Entirely Hands-On – Case Study based
- Practical Inputs from real-time scenarios
- Lifetime Access to SessionΒ Recordings
INSTRUCTOR PROFILE
Himanshu Arora
(IIT, Bombay – 10+ years experience in Data Science) A machine-learning practitioner, fascinated by the numerous application of Artificial Intelligence in the day to day life.
I enjoy applying my quantitative skills to new large-scale, data-intensive problems.I am an avid learner keen to be the frontrunner in the field of AI. I enjoy learning new technologies at work and strive hard to acquire finesse in skills that I have honed over my career.
Trained 5000+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics and Deep Learning at Dimensionless
Conducted workshops and training on Data Analytics for Corporate and Colleges
He possesses knowledge of a wide variety of machine learning and deep learning algorithms.
Pranali
FAQS
Why Should I Learn Machine Learning from Dimensionless?
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Dimensionless Tech provides best online data science training that provides in-depth course coverage, case study based learning, entirely Hands-on driven sessions with Personalised attention to every participant. We guarantee Learning.
What Are The Various Modes Of Training That you Offer?
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We provide only instructor-led LIVE online training sessions. We do not provide classroom trainings.
How is your online training better than classroom training?
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In physical classrooms, students generally feel hesitant to ask questions. Unlike other online courses,Β we allow you to speak in the session and ask your doubts. The interactivity level is similar to classroom training and you get it at the comfort of your home. If you miss any class or didnβt understand some concepts, you canβt go through the class again. However, in online courses, itβs possible to do that. We share the recordings of all our classes after each class with the student. Also, thereβs no hassle of long-distance commuting and disrupting your schedule.
Can I ask my doubts during the session?
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All participants are encouraged to speak up and ask their doubts. We answer all the doubts with same sincerity.
Is there a hardware requirement for this course?
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Any laptop with 2GB RAM and Windows 7 and above is perfectly fine for this course. For large data, the access will be given on the online lab.
What if I miss a session, due to some unavoidable situation?
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We understand that while balancing your personal and professional commitments you might miss a session. Hence, all our sessions are recorded and the recordings are shared with you through our Learning Management Portal.
How long will I have access to the Learning Management Portal?
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You will have lifetime access to the portal and you can view the Videos, Notes, Books, Assignments as many time
What Kind Of Projects Will I Be Working On As Part Of The Training?
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During the training you will be solving multiple case studies from different domains. Once the LIVE training is done, you will start implementing your learnings on Real Time Datasets.Β You can work on data from various domains like Retail, Manufacturing, Supply Chain, Operations, Telecom, Oil and Gas and many more. You would be working on multiple projects so that you can gain enough content and confidence to enter into the field of Data Science.
Do You Provide Placement Assistance?
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Yes, we provide you with real-time industry requirements on a daily basis through our connect in the industry. These requirements generally come through referral channels, hence the probability to get through increases manifold. The HR from the team, helps you with Resume Building and Interview Preparation as well.
Do I get a Course Completion Certificate?
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Yes, we will be issuing a course completion certification to all individuals who successfully complete the training.
[geot_filter country=”US” ]Machine Learning Engineer was the highest paying job title in Artificial Intelligence jobs in U.S with an average salary of $142,858. Dimensionless is one of the top Data Science academies providing training in US. This Machine Learning course by Dimensionless will help beginners as well as professionals to transition to a career in Data Science and Artificial Intelligence.
[/geot_filter][geot_filter country=”CA” ]The Canadian government has committed about $125 million towards the development of the Artificial Intelligence sector. Tech hubs in major cities saw a growth of an average of 37% in AI job opportunities with over 61% openings requiring Machine Learning skills. Dimensionless is one of the top Artificial Intelligence academies providing training in Canada and the US. This Machine Learning course by Dimensionless will help beginners as well as professionals to advance their career in Artificial Intelligence.[/geot_filter][geot_filter country=”AU”] With a 58% hike in Data Science jobs in 2018 alone, it has proven very lucrative to have a Data Science career in Australia with just salaries starting from AU$49k β AU$90k. This Data Science course by Dimensionless will help beginners as well as professionals to transition to a career in Data Science. Dimensionless is one of the top Data Science training academies in Australia.
[/geot_filter][geot_filter country=”NZ” ]
Demand for data scientists in New Zealand went up by 29 percent in 2018. Machine Learning is the most looked for skill in Data Science and has an increasing demand in New Zealand. This Machine Learning course by Dimensionless will help professionals to advance their career in Data Science. Dimensionless is one of the top Data Science training academies in New Zealand.
[/geot_filter][geot_filter region=”europe” ]A report by IBM predicted that the rapidly evolving world of Data Science will result in a continued and ongoing demand for data scientists in Europe, with a 28% increase in demand by 2020. Data Science is one of the most coveted careers in European Tech market.
This Machine Learning course by Dimensionless will help professionals to advance their career in Data Science. Dimensionless is one of the top Data Science training academies in Europe[/geot_filter]
CAPSTONE PROJECTS
- Amazon Reviews Sentiment Analysis
- COVID-19 Global Forecasting
- FIFA 19
- Flight Price Prediction
- Food Delivery Time Prediction
- Food Quality Assessment
- Hotel Recommendation System
- Walmart Sales Forecasting
Sentiment analysis measures the attitude and belief of the customer towards the service or product.
Your task is to make a sentiment analysis model that takes the review of a customer and returns whether the review is positive or negative.
Accurate forecasting of increasing coronavirus is important. It will help the medical institutions and government to plan their strategies accordingly.
Your task is to forecast the cumulative number of confirmed COVID-19 cases across the world.
The task here is to incorporate all the various components of football players and display them in a single environment using clustering, so that users can select their players of interest by one click instead of selecting the features manually.
Airline companies use techniques to systematically allocate airfare prices. The task given here is to accurately predict the price.
This will help the passengers to decide a specific airline as per their budget and save their time and money.
When we order food, questions such as βWhere is my food?β or βWhen will my food arrive?β often emerges in our minds.
In this project, you will be given data of thousands of restaurants in India and your task is to predict the food delivery time.
Food quality needs to be assessed from time to time. Your task is to make a ML model that predicts whether a specific facility will pass or fail the food quality assessment, by using the dataset which was collected by the food inspection department.
Recommendation system broadly recommends products to customers best suited to their tastes and traits.
Your task in the project is to predict and recommend a few hotels to a user that he/she is more likely to book out of thousands of hotels available.
Sales Forecasting tells the future sales based on the current and past sales data.
You are given historical sales data of 45 Walmart stores located in different regions and your task is to predict the weekly sales for each department of every store.
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