Artificial Intelligence Specialization Program
This Artificial Intelligence online program is created to help students learn Python Programming and its application to Data Science, Machine Learning, Deep Learning and Text Analytics. This is followed by hands-on experience in solving problems using Deep Learning to get a real-time experience of Data Science projects.
- Essentials of Python Programming and Introduction to Libraries
- Data Exploration with Statistics
- Data Visualization
- Machine Learning Techniques
- Deep Learning
- Text Analytics
Descriptive and Inferential statistics concepts and implementation using real-world data will also be covered. It will end with a case study implementation of EDA.
- Descriptive Statistics
- Inferential Statistics
Python is a critical tool for Data Science. In this module participants learn Python programming from basic to advanced level using Jupyter notebooks. Here, participants create, subset and manipulate various data structures. Specific libraries like NumPy, Pandas and Matplotlib that are popular for Data Analysis are covered in depth.
- ESSENTIALS OF PYTHON PROGRAMMING
- BASIC DATA STRUCTURES AND FUNCTIONS IN PYTHON
- INTRODUCTION TO
-Matplotlib and Seaborn Library
- DATA EXPLORATION USING STATISTICS
Machine Learning using SciKit Learn (Python)
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.
- The Machine Learning Landscape
- Supervised Machine Learning
- UnSupervised Machine Learning
In this module, participants will learn the foundations of Deep Learning and understand how to build neural networks. The implementation of the same will be done using Python, TensorFlow and Keras.
- Deep Learning Fundamentals
- Working with Keras
- Training Deep Neural Networks
- Deep Computer Vision Using
- Convolutional Neural Networks
- Pretrained Models for Transfer
- Classification and Localization
- Object Detection
Natural Language Basics
- Introduction to Natural Language processing
- Processing and Understanding Text
- Text Classification
- Text Similarity and Clustering
- Semantic and Sentiment Analysis
Data Visualization using Tableau
Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals. In fact, it has been the market leader in reporting tools for almost 10 years (Source: Gartner magic quadrant). Once the predictive analysis of data is done, data scientists generally use Tableau to send out the reports to business which can then take decisions accordingly.
- Intro To Data Visualization and Tableau
- Data Connections – Joins and Vizql
- Building Basic Charts, Chart Types And Mapping
- Aggregation, Parameter
- Statistical Analysis Using Tableau – Regression and Box Plots
- Table Calculation, Calculated Fields
- Integration Of Python with Tableau
R Programming [Recorded]
R is one of the most commom languages used in Data Science.
- Fundamentals of R Programming – Working with RStudio
- Data structures & data types in R
- Control Structures
- Data handling in R – Importing and Exporting Data
- Cleaning and Manipulating Data
- Work on multiple Case Studies of Machine Learning and Deep Learning.
Choose from a set of projects and work on at least a couple of projects under the guidance of the mentors to create a portfolio for business. Projects include problems that would be solved using Traditional Machine Learning models and Deep Learning algorithms.
- Online Classes [Get the services of best trainers from Anywhere]
- LIVE instructor-led training throughout the training duration
- Entirely Hands-On driven session
- Practical Inputs from real-time scenarios
- Problems and Case Study driven training
- Machine Learning algorithms are taught using at least 2 Case Studies for every algorithm
Kushagra, (IIT Delhi – 10+ years experience in Analytics & data science), has a keen interest in Problem Solving, Deriving insights & Improving the efficiency of processes with new age technologies.
He’s good with statistical concepts and possess thorough business understanding along with practical experience in linear models (like Linear Regression, Logistic Regression, Ridge Regression, Lasso Regression),
Tree based algorithms (like Decision trees, Bagging, Random Forest, GBM, XGBoost), clustering (like K-Means, Hierarchical),Time-series analysis (like ARMA, ARIMA, stationarity), Deep learning(CN, RNN), NLP Techniques(TFIDF, LDA, Topic Modelling) Extensive knowledge of Tools like R,Python, Spark, Tensorflow, Keras, Tableau. Trained 5000+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics at Dimensionless Conducted workshops and training on Data Analytics for Corporate and Colleges
HIMANSHU (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.
Are there any pre-requisites to learn this course?
Yes, the participant should have a working knowledge of Python for Data Science and must have worked on Machine Learning Algorithms.
Why Should I Learn Artificial Intelligence from Dimensionless?
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 for every participant. We guarantee Learning.
What Are The Various Modes Of Training That you Offer?
We provide only instructor led LIVE online training sessions. We do not provide classroom trainings.
How is your online training better than other online or classroom training?
In physical classrooms, students generally feel hesitant to ask questions. Unlike other online courses, we allow you to speak in the session and clarify your doubts. The interactivity level is similar to classroom training and you get it in the comfort of your home. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.
Can I ask my doubts during the session?
All participants are encouraged to speak up and ask their doubts. We answer all the doubts with the same sincerity.
Where do I get the Softwares from?
All the software used in this course are Freely downloadable from the Internet. The trainers help you set it up in your systems. We also provide access to our Cloud-based online lab where these are already installed.
What is the hardware requirement for this course?
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?
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?
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?
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. 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?
Yes, we provide you with real-time industry requirements on a daily basis through our connection 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?
Yes, we will be issuing a course completion certification to all individuals who successfully complete the training.
- Fake News Classifier
- Music Generation
- Real Face V/S Fake Face Classifier
- Visual Question-Answer
- Signature Classification
- COVID-19 Global Analysis
- Uber Analysis
- Zomato Bengaluru Restaurants
- 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
Fake news refers to propaganda, misinformation which is spread via word of mouth, or mainstream media or social media platform.
The goal is to create a model which characterizes fake news and real news with the help of NLP and deep learning techniques.
In this project, we will compose our own original music without really knowing any instruments or music by using Deep Learning.
You will be provided with existing music data and your task is to make a deep learning model that generates new music.
Image Processing: The dataset given to you contains high-quality photoshopped face images.
Your task is to make a Deep Learning model that detects whether the face is a real face or a fake face that is either photoshopped or created by AI.
Your task is to make a model that answers open-ended questions about images using deep learning techniques.
This project can also be upscaled by adding voice features that can help visually impaired people to get a gist of their surroundings.
Signature authentication is necessary to avoid forgery of documents in various financial, legal, business and in other environments.
The aim of is to develop a signature verification system that detects whether the signature is fraud or genuine.
The COVID-19 pandemic has been spread globally, and the number of cases is rising every day.
In this project, you have been given world-wide dataset of coronavirus and you have to perform EDA, data analysis and data visualization techniques.
In this project you have to analyze the Uber dataset and try to find the hidden relationships among time, date, categories, miles, purpose of the drive, start and end location.
After generating insights, use the data to predict the “travel miles”.
The goal is to analyse the Zomato Bengaluru dataset to get an understanding of the factors that affect the restaurants in Bengaluru.
Then you have to predict the “Zomato rate” of the restaurants and perform a sentiment analysis on customer reviews.
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 ‘Where is my food?’ or ‘When will my food arrive?’ 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.
MNIST Digit Recognition
Movie Reviews Sentiment Analysis
Image Recognition on CIFAR-10
Image Classification on Flowers Dataset
Cats and Dogs classification
Cards Recognition and Detection
Real Estate Price Prediction
Start-up Success Rate and Investment Analysis
Insurance Premium Analysis
Consumer Goods Sales Forecast
Automobile Price Analysis
App Market Analysis
Analysing Flight Operations
California Housing Price
Health Care Quality Assessment
Automobile Sales classification
Framingham Heart Study
Mall Customer Segmentation
Credit Risk Modelling