Intellipaat’s Machine Learning course in New York helps you learn various concepts and techniques of Machine Learning with Python, including topics like supervised and unsupervised learning, Machine Learning algorithms, random forest, decision tree, probability, statistics, and linear and logistic regression through real-world hands-on projects and case studies. Get enrolled in this top online Machine Learning training in New York curated by industry-experienced Data Scientists.
Intellipaat is one of the best and beneficial e-learning platforms when it comes to grabbing one of the best Machine Learning courses in New York. Through this definitive course, designed for beginners as well as for the advanced learners, you will get an in-depth knowledge of Machine Learning, while covering all concepts of Machine Learning with Python, such as, support vector machines, supervised and unsupervised learning, random forest and decision tree classifiers, best practices of Machine Learning, and much more through hands-on projects.
Intellipaat, one of the leading Machine Learning Institutes in New York offers a ML Course that can be joined by:
Anybody can join the Machine Learning classes in New York regardless of the prior know-how of the technology.
The increasing number of tech firms has become a common phenomenon for New Yorkers, and due to this fact Silicon Valley is currently the center of the tech universe and a birthplace for some of the biggest startups, deploying Machine Learning and other novel technologies. Therefore, in this most tech-savvy city among the American states, there is an ever-increasing demand for professionals trained and certified in Machine Learning. Since research is a vital part of any organizational process, which is not possible without statistical calculations, technologies like Machine Learning, and an advanced programming language like Python, there are plenty of assured job placements for aspirants trained with Intellipaat Machine Learning with Python course. Also by obtaining a Machine Learning certification in New York City, it improves your odds of getting employed.
‘Technology is driving innovation across New York City’s industries’ says Mayor Bill de Blasio. And as rightly said, New York is home to numerous tech corporates and startups. Since Machine Learning is one of the hottest technologies of the day, there is a great scope for aspirants in the field of Machine Learning to fulfill the requirements of the thriving market of this city. Thus, it is clear that those candidates aspiring to make it big in the world of Data Science should enroll themselves in Intellipaat’s Machine Learning course in NYC.
In the world we live in today, ML has proved itself to be among the hottest and demanding technologies available out there.
Hence, by leveraging Intellipaat’s Machine Learning online training, you will be exposed to numerous high-paying job opportunities.
1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning
2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and assumptions in linear regression
2.5 Math behind linear regression
1. Implementing linear regression from scratch with Python
2. Using Python library Scikit-Learn to perform simple linear regression and multiple linear regression
3. Implementing train–test split and predicting the values on the test set
3.1 Introduction to classification
3.2 Linear regression vs logistic regression
3.3 Math behind logistic regression, detailed formulas, the logit function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR
1. Implementing logistic regression from scratch with Python
2. Using Python library Scikit-Learn to perform simple logistic regression and multiple logistic regression
3. Building a confusion matrix to find out accuracy, true positive rate, and false positive rate
4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest
1. Implementing a decision tree from scratch in Python
2. Using Python library Scikit-Learn to build a decision tree and a random forest
3. Visualizing the tree and changing the hyper-parameters in the random forest
5.1 Introduction to probabilistic classifiers
5.2 Understanding Naïve Bayes and math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM and math behind SVM
1. Using Python library Scikit-Learn to build a Naïve Bayes classifier and a support vector classifier
6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA
1. Using Python library Scikit-Learn to implement k-means clustering
2. Implementing PCA (principal component analysis) on top of a dataset
7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, pre-processing, and text classification
1. Learning Natural Language Toolkit and NLTK Corpora
2. Reading and writing .txt files from/to a local drive
3. Reading and writing .docx files from/to a local drive
8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders
9.1 What is time series? Its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis) and text analysis
1. Analyzing time series data
2. The sequence of measurements that follow a non-random order to recognize the nature of the phenomenon
3. Forecasting the future values in the series
As part of this ML program, you will be engaged in various projects and assignments, which include real-world industry scenarios. This way, you can expedite your career effortlessly.
Intellipaat’s certificate will be issued once you successfully work on the project (after expert review) and score at least 60 percent in the quiz.
You would be glad to know that Intellipaat’s certification training is recognized by more than 500 top MNCs, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.
Intellipaat provides comprehensive teaching in Machine Learning through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat ML training course includes the following:
We provide lifetime access to videos, resources and their free upgrades to the latest version, and 24/7 learning support.
Machine Learning is basically the process to collect real-world data, extract useful information from it, and then take actions to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.
No doubt, Machine Learning is in high demand, and at the same time, employers need professionals who have the right skills for building applications for the future.
Here, at Intellipaat, we create our program by taking into consideration our learners come from varied backgrounds. So, we curate it from the basic level and gradually increase the difficulty level for you to easily grasp all the concepts taught as part of the program. Further, we make sure that, by the end of the program, your skills would be equivalent to 6-month experience in this technology.
Intellipaat’s Machine Learning certification course is curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this program covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners.
Here, you will learn mathematics, statistics, etc. and then go on gaining in-depth knowledge of ML. So, if you are a beginner in this field and are aiming to pursue a career in it, then this is the best platform for you.
Among various other institutes that provide the python Machine Learning course online, Intellipaat offers it at the most reasonable and affordable rate. It provides two modes of training, namely, self-paced and online instructor-led.
Intellipaat’s self-paced Machine Learning program costs about US$160, where you will be able to learn from pre-recorded video lectures at your own pace. The online instructor-led one, on the other hand, costs about US$265. In this, you will attend live lectures from trainers, along with which you will receive access to the self-paced program as well. Hence, this program is extremely beneficial.
You can access all the lectures and assignments the moment you enroll in this program. Also, Intellipaat provides lifelong access to the complete material for you to refer to it as and when required.
We select instructors who are top SMEs in the industry with a minimum of 8 to12 years of experience in the field of Machine Learning. They are all extremely qualified trainers in the field of Machine Learning and Artificial Intelligence. They are selected after going through a rigorous process, where they are tested for their domain knowledge and training ability.
Intellipaat’s teaching assistant team consists of technical experts who help learners in various aspects, including doubt clearance, assignment sessions, and project evaluation.
As part of career services, we conduct mock interviews and help in developing your resume and a LinkedIn profile. Besides, we have a dedicated job portal where you can interact with recruiters and apply to job openings. Our job portal has more than 500 recruiters on-board, including some of the top companies such as Amazon, Flipkart, etc.
Yes, Intellipaat offers several group discounts for our classroom program, depending on the group size and type. To avail the group discount for our Machine Learning advance course, you need to contact our course advisors, who will help you with all your doubts regarding the discount offers we provide.
Intellipaat accepts all major debit cards and credit cards. Besides, it offers all EMI options available for you to choose from as per your convenience. You can speak to our advisors to get more details about different EMI options as well.
If you end up missing a class, then you can contact our support team. Our team will further assist you in scheduling another class for the same topic so that you can catch up with the rest.
Also, all the sessions are recorded and shared with all participants in the LMS (Learning Management system). You can also refer to these recorded sessions for the missed class.
Intellipaat offers the facility of integrated labs that act as a platform for you to execute our industry-based projects. You will be guided through the steps so that you can easily deploy all the necessary tools and further execute the hands-on exercises successfully.
Intellipaat’s Machine Learning program provides material that comprises all the modules that are necessary to learn this popular technology. These pre-recorded video lectures and material are extremely effective as they allow you to complete the whole program at your own pace and take your time to learn the concepts thoroughly.
You can speak to our advisors for detailed information about ML, and they will help you select the best-suited one for you based on your skill set and work experience.
After successfully completing the entire program and executing all the given industry-based exercises and projects, you will receive the ML certificate from Intellipaat.
After completing this certification training, you will be awarded the certificate from us, which is valid for a lifetime.
Intellipaat’s certificate is recognized by over 500 top MNCs across the world, including companies such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.
As a part of our online certification training, we provide practice tests and assignments that will help you prepare for real-life examinations and jobs. These tests also let you assess yourself on what you have learned and how much you have grasped.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.