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Intellipaat’s Machine Learning course in Houston gives insights into major ML concepts by keeping in mind the demand for Machine Learning Engineers is at a high rise. Intellipaat's Machine Learning course will give you thorough knowledge of ML algorithms and their implementation. Therefore, register for the Machine Learning training in Houston to get certified and kick start your career.
In this Machine Learning course in Houston, you will be learning about the mathematical concepts that are used in this field. The course instructor of this Machine Learning course will walk you through various ML techniques and algorithms such as clustering, regression, classification, time series analysis, Natural Language Processing, and neural networks.
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 ML online training, you will be exposed to numerous high-paying job opportunities.
People who are interested in ML and want to make a bright career in it should enroll in this course provided by one of the most esteemed Machine Learning Institutes in Houston.
According to Glassdoor, the average salary of a certified Machine Learning Engineer in India is ₹945,000 and, in the United States, it is US$128,500. Also, the number of job posting for a Machine Learning Engineer in January 2020 was more than 8,000. This indicates the huge demand for Machine Learning Engineers in the market currently.
To master this technology, you need to nourish your problem-solving and implementation skills. This helps in enhancing conceptual knowledge. In this Machine Learning course in Houston, you will work on various projects based on e-commerce, insurance, healthcare, etc. By working on different real-life use cases, you will intensify your problem-solving and implementation skills. By having a Machine Learning certification in Houston, it increases the possibilities of getting employed.
ML has a great future as it is widely used for automation in various sectors. Various researches are going on to improve its techniques to foster automation. Due to this, the job market for a Machine Learning Engineer is hiking its peak. By taking up this one of the finest Machine Learning courses in Houston, you will get a certificate that you can add to your resume to build a strong ML Engineer profile and make a lucrative career.
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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
Hands-on Exercise:
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
Hands-on Exercise:
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
Hands-on Exercise:
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
Hands-on Exercise:
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
Hands-on Exercise:
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
Hands-on Exercise:
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
Hands-on Exercise:
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
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Analyzing the Trends of COVID-19 with Python
In this project, you will be using Pandas to accumulate data from multiple data files, Plotly to create interactive visualizations, Facebook’s Prophet library to make time series models, and visualizing the prediction by combining these technologies.
Customer Churn Classification
This project will help you get more familiar with Machine Learning algorithms. You will be manipulating data to gain meaningful insights, visualizing data to figure out trends and patterns among different factors, and implementing algorithms like linear regression, decision tree, and Naïve Bayes.
Creating a Recommendation System for Movies
You will be creating a Recommendation system for movies by working with Rating prediction, item prediction, user-based methods in k-nearest neighbor, matrix factorization, decomposition of singular value, collaboration filtering, business variables overview, etc. Two approaches you will use are memory-based and model-based.
Case Study 1 - Decision Tree
Conducting this case study will help you understand the structure of a dataset (PIMA Indians Diabetes database) and create a decision tree model based on it by making use of Scikit-Learn.
Case Study 2 - Insurance Cost Prediction (Linear Regression)
In this case study, you will understand the structure of a medical insurance dataset, implement both simple and multiple linear regressions, and predict values for the insurance cost.
Case Study 3 - Diabetes Classification (Logistic Regression)
Through this case study, you will come to understand the structure of a dataset (PIMA Indians Diabetes dataset), implement multiple logistic regressions and classify, fit your model on the test and train data for prediction, evaluate your model using confusion matrix, and then visualize it.
Case Study 4 - Random Forest
You will be creating a model that would help in classifications of patients in the following ways: ‘is normal,’ ‘is suspected to have a disease,’ or in actuality ‘has the disease’ with the help of the ‘Cardiotocography’ dataset.
Case Study 5 - Principal Component Analysis (PCA)
As part of the case study, you will read the sample Iris dataset. You will use PCA to figure out the number of most important principal features and reduce the number of features using PCA. You will have to train and test the random forest classifier algorithm to check the model performance. Find the optimal number of dimensions that will give good quality results and predict accurately.
Case Study 6 - K-means Clustering
This case study involves data analysis, column extraction from the dataset, data visualization, using the elbow method to find out the appropriate number of groups or clusters for the data to be segmented, using k-means clustering, segmenting the data into k groups, visualizing a scatter plot of clusters, and many more.
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.
They provided one of the best Machine Learning online training courses in the market. I really liked the way Intellipaat had approached such a complex topic as ML and made it so easy to understand. 5 stars to Intellipaat for conducting such wonderful certification training!
Bharat Rathore
Machine Learning online certification course were top-notch, and the material was very good with lots of real-world examples. Learning with Intellipaat was a great experience!
Excellent course, I found Intellipaat's training team to be talented in their respective domain. My training was very good as it helped me in upgrading my skills, which proved to be a turning point in my career. Intellipaat's mentor was well-experienced and his teaching method was really great. This online course helped me to get deep understanding of the technology. Moreover, the excercise and projects provided as a part of the course made me to get hands-on experience. Besides, the online support team was very helpful and offered their assistance as and when I needed via calls and emails.
Samar Jain
The program was amazing, and the trainer did a great job of explaining key concepts. He was extremely patient throughout the lectures and gave enough time and effort to explain each and every concept. I was extremely satisfied with this training online.
An excellent Machine Learning certification course with extremely interactive sessions. It was very well delivered and structured. Even the complex concepts were taught with extreme ease, along with practical, real-life, and relatable examples. This helped a great deal in getting hold of the concepts and comprehending the same.
Here, concepts were taught from the basics, which was really helpful for me as I am not from a computer science background. Moreover, the material was easily available and accessible even after I completed the program. This was convenient and helpful as I could refer to the concepts whenever I wanted. I would recommend it as one of the best machine learning courses!
Overall, the most delightful aspect of this online program was placement assistance. The team really did a great job in preparing me for a job interview by conducting a number of dummy interviews. I am extremely grateful to the team for helping me. They also help me prepare my resume as per the job role I was seeking.
I am an ML Engineer in a well-reputed organization. I started working here recently, and I got this job opportunity only because of this best training course on this technology. After completion, Intellipaat opened the door to many job opportunities that helped me secure a good job of my choice.
Nandini Shankar
I always had a keen interest in AI and ML. Intellipaat’s classes are of high quality, and trainers are the best in knowledge. I feel that enrolling in Intellipaat is the best decision I made for upskilling myself.
I have learned a few technologies online from other online providers, but I was never quite satisfied. I recently took up this python Machine Learning course online, and I am still going through it. But, unlike my previous experiences, this is very interactive and helps me grasp all concepts with little effort.
An overwhelming Machine Learning online course with concepts taught in great detail. The 24-hour support provided was really helpful when I had to clear my doubts. Moreover, the resource material provided was comprehensive and interesting, which made it easy to learn.
Kavita Mehra
This ML online program was up-to-date, and the instructor taught all the concepts in great detail. It was a very informative training course with all the topics taught step by step. It helped me a lot in becoming proficient in both ML and Deep Learning concepts.
I had completed this training course a while back, and the job assistance they provided me was extremely supportive. The team offered mind-blowing support for upgrading my resume with the new skills that I had acquired during the program. They also conducted several mock interviews, which gave me confidence during my actual interview and helped me successfully land the job. Overall, it is one of the best training courses ever.
Great course, I had a really good experience from this platform, they trained me well. I completed my Python training with this institute where they provided extremely good training and good support too. Further, the course instructors were really well-educated who explained all the topics with great enthu.
Genuine platform for learning. I finished my course recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured and the lectures are really flexible. I am currently working and I still get the time to complete the course within the given time and it is mainly possible because of the 24*7 support system and the clarity of their teaching. Besides, they make us do hands-on exercises and project, making us gain in-depth knowledge of the concepts. I strongly recommend others to take this course as well.
Amazing course learning experience. It was a great learning experience with Intellipaat. The coursware is comprehensive, and has a variety of material like videos, PPTs, and PDFs that are neatly organized. Further, there are hands-on projects, assignments, code files for each module. And most importantly, the support I received as a learner while pursuing my course was exemplary.
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.
Intellipaat is the leading provider of Machine Learning courses in Houston. The courses like Artificial Intelligence, Data Science, R programming language, Data Analytics, and others help you to become job-ready by focussing on practical implementations on real-time live projects.
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.
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