MACHINE LEARNING SUMMER INTERNSHIP PROGRAM IN GUNTUR
- MACHINE LEARNING
COMPLETE TRAINING ON TECHNOLOGY | PROJECT DEVELOPEMENT
HYDERABAD
407, 4th Floor, Pavani Prestige (R.S Brothers)Building, Ameerpet, Hyderabad, India Opposite Image Hospital & Beside KLM Fashion Mall.
About Machine Learning
New global capabilities are required for brand new global thinking. Unless they quick devolve into real effort, plans are simply great intentions. Tru Projects is in which you will locate your future. We put money into greater than simply current technology. We help you in setting them together. Enhance your task control talents to turn out to be part of the brand-new equation. Machine getting to know will automate duties that maximum human’s idea may want to handiest be finished via way of means of humans. Don’t bit your nails now the services are available near to your home towns in Guntur (Sattenapalle, Tadepalle, Tenali, Ponnur, Bapatla, Repalle, Narasaraopet, Chilakaluripet, Macherla, Piduguralla, Brodipet), Narsaraopeta , Ongole , Nellore.
The best Online Summer Internship Programs Machine Learning in Guntur and planning to create a fleshed-out profile in your resumes? Hey hurry up then! Tru Projects offers the Summer Internship Program in Machine Learning in Guntur to help you improve your practical skills. Students are often anxious to Machine Learning Summer Intern because they are concerned that their Machine Learning Summer Internship 2023 for Freshers in Guntur would be filled with uninteresting activities for little or no pay. Despite the fact that not all internships pay in financially, some do pay in other ways. A Summer Internship on Machine Learning in Guntur offered by Tru Projects gives you the foundation for a successful career.
Machine Learning Summer Camp Program in Guntur allow you to expand your professional network in the following ways: A Machine Learning Summer Training in Guntur helps you to meet individuals from different walks of life and broaden your contacts, which is a crucial part of job growth. As a Machine Learning Online Intern Summer 2023 you will have additional opportunity to form relationships with corporate personnel that you may utilise later in your career with Summer 2022 Machine Learning Internship in Guntur at Tru Projects.
Research internships provide real-world experience and exposure for beginners, as well as hands-on experience working in the real world. For students with little professional experience, the internship includes a learning curve. They acquire hands-on experience working on real projects, connecting with a variety of teams and clients, and gaining a better understanding of Internship. Internship Certification allows you to put your knowledge to the test while also developing workplace interpersonal skills that may aid in your career search.
Machine Learning Internship for B Tech Students in Guntur Enhances the soft skills, corporate etiquette, attending numerous training sessions, how to conduct oneself in a machine learning Internship for students in Guntur, hands-on experience with Real Time Machine Learning Summer Intern 2023 in Guntur, knowing the sector and organization, current industry trends, and more in Machine Learning Internship Online in Guntur.
With Certification Internship, a Summer Internship is a terrific way to learn about numerous careers. It is easier to obtain than full-time job in corporations because it usually does not require prior experience. When it comes time to look for a full-time job after interning, you will be a more desirable candidate than your contemporaries by attending Machine Learning Online Intern Summer 2022 in Guntur. Employers value your work experience more than your academic credentials. The finest internships allow you to put specific teaching approaches to the test before you start working. An internship allows you to put what you’ve learned into practise in a safe setting where mistakes are expected, rather than learning the hard way in your first job after college. Internships enable you to go from a student to a full-time employee. Graduating and immediately starting a new career might be difficult at times in Final Year Machine Learning Internships for btech in Guntur. At Internship, not every employer is capable of mentoring new employees. If you are unable to change quickly, it might be disastrous. Employers are often looking for applicants who can transition from student to full-time work with little or no training.
Many firms may offer interns a full-time employment if they have gained all of the essential skills and are contributing to the organisation in Real Time Machine Learning Summer Intern 2022 in Guntur. They don’t want to let you go because you’re a good investment for the Bangalore Technical Internship. At a real-time summer internship, identifying your areas of interest is a various functions and specialties exist in each field. You will learn numerous information about the Online Internship Program so that you can make a more informed career choice. Within your major Programming Internships, the Intern Program will assist you in identifying your areas of interest. Our Machine Learning Summer Internship 2022 Students in Guntur is meant to assist students learn about the many industries throughout the world and how they might fit in.
Internships in their last year help students figure out what areas of interest and ability they have Machine Learning Online Internship in Guntur. And our Machine Learning Online Summer Internship Course in Guntur are a terrific way to get them started. We not only give training at our school, but we also provide a Machine Learning Internship for CSE Students in Guntur who have completed their certificate, which adds a lot of value to their profile when applying for higher education and jobs. If you want to be a part of any sector in our ever-changing world, you should always be on the lookout for Research Summer Intern Machine Learning in Guntur.
Without a doubt, Tru Projects offers the greatest summer internship on Machine Learning for ECE Students in Guntur accessible. We are committed to helping the students to have fun while learning and in trainings. If you require training, you can come to us because our team consists of teachers with years of experience in a variety of sectors in Internship certification. Internships will assist students in understanding the entire software development life cycle (SDLC). With the internships, you will be able to understand the full process of creating software in Tru Projects in your own unique style.
Machine Learning Internship for ECE Students in Guntur are a terrific opportunity to get real-world experience and insight into a sector you’re interested in. If you’re a student or just starting out in your profession, a Final Year Machine Learning Internships in Guntur can provide you with the necessary experience to prepare you for full-time employment. Final Year Machine Learning Internships for ece in Guntur can be paid or unpaid, with some unpaid internships providing additional perks like college credit. Paid internships are becoming increasingly prevalent, as opposed to the conventional internship paradigm, which involves labour in return for experience rather than compensation.
Summer internship on Machine Learning for B Tech Students in Guntur or Machine Leaning Final Year Summer Internship in Guntur may be available depending on aspects such as industry or professional, role duties, experience necessary, internship length, and inclusion of class credit.
An intern works for a development of firm for a set amount of time, generally between semesters or concurrently with them. Not everyone has six months or a year will have Internship to gain the necessary work experience for a job right after graduation. Internship Program are more likely to be intensive and concentrated. Summer internship on Machine Learning for ECE Students in Guntur are appropriate for students in their last year of graduation.
Machine Learning Internship Certificate in Guntur can last anything from three months to two years. Internship for Freshers are not appropriate in some fields, such as fashion or editorial, because they do not provide enough time for the intern or the company to profit. Machine Learning Summer Internship 2022 for Freshers in Guntur provide additional depth in the workplace. Paid Internship Machine Learning Summer Online in Guntur allows you to polish your talents as you work on larger projects for longer periods of time, and become a more valuable member of the team in Tru Projects.
Summer internship on Machine Learning for CSE Students in Guntur might be advantageous even for a seasoned worker considering a career shift Machine Learning Summer Online Internship Course in Guntur. Internships Courses For Students have soft talents such as teamwork and leadership. Technical skills and industry expertise, on the other hand, are required before entering a new area of Summer 2023 Machine Learning Internship in Guntur.
If you are looking for Summer Online Training for Students Machine Learning or Machine Learning Internship for Freshers in Guntur join Tru Projects immediately to earn valuable experience. If you don’t want to deter anybody from looking for Remote Summer Internship Machine Learning in Guntur in the traditional manner, start by tapping into Tru Projects website for Paid Summer Internship Machine Learning in Guntur, depending on personal interest. But, because internet searches can help you locate internships and focus on what you want, but may not provide you the unique one like Machine Learning Online Summer Internship Students in Guntur. So don’t get freak out the Paid Online Summer Internship In Machine Learning in Guntur is opened for both Machine Learning 3rd year Summer Internship in Guntur and Final Year Machine Learning Internships for cse in Guntur.
You must establish what your biggest priorities are and have the confidence to say ‘no’ to other things in a pleasant, cheerful, and unapologetic manner. And the only way to do it is to have a larger ‘yes’ burning inside of you. Have the same and join Tru Projects for internships. If internships are exclusive, their regulations should be revisited, as those who were able to make them work (paid or unpaid) reported some significant benefits. Most responders indicated their internships provided them with much more than just getting coffee and making copies.
Working with us may cause you turning into a Freshers Summer Machine Learning Internship in19 Guntur. The internships had been created with take care of college students who preference to pursue their have a look at or paintings on this field. Summer Intern can be tailored to one of the finest summer time season internships to be had, that is especially high-quality to more youthful college students. Feel loose to touch us
Registration Process
Internship Tracks
Machine Learning
Day - 1: Introduction to Machine Learning
2. How Machine Learning Useful in Daily Life
3. Machine Learning Goals and Deliverables.
4. Why Machine Learning
5. Machine Learning Tools.
Programming Essentials
Day - 2: Introduction to Python
2.Anaconda Installation and Introduction to Jupyter Notebook
Day - 3: Python Basics
Day - 4: Python Baiscs
Day - 5: Python Baiscs
Day - 6: Python for Data Science - Numpy
2. Operations in Numpy
Day - 7: Python for Data Science - Pandas
2. Operations in Pandas – Pandas Basics, Indexing and selecting Data,Merge and Append, Grouping and Summarizing, Lambda functions and Pivot tables
3. Introduction to Reading.
Day - 8: Python for Data Science - Matplotlub
2. Types of plots with ExamplesInheritence,Polymorphism,Encapsualtion,Abstraction
Day - 9: Introduction to SQL
2. Basics of SQL, Data Retrieval, sorting, compound functions and relational operators, pattern matching with wild cards.
3. Basics on Table creation, updating, modifying etc.
4. Overall Structure of data retrieval queries, Merging tables, User Defined Functions (UDF), Frames.
Statistics & Exploratory Data Analysis (EDA)
Day - 10: Introduction to Data Analytics
2. CRISP-DM Framework – Data Preparation, Modelling, Evaluation and Deployment
Day - 11: Data Visualization in Python
2. Introduction to various charts
3. Data visualization toolkit in Python (Libraries or modules available in Python)
4. Plotting Data in Python using matplotlib and seaborn – Univariate Distributions, Bi-variate Distributions
5. Plotting Time series data
Day - 12: Exploratory Data Analysis
2. Data Cleaning – Fixing rows and columns, Missing value Treatment, standardizing values, handling invalid values, Filtering data
Day - 13: Exploratory Data Analysis
2. Univariate Analysis, Bivariate Analysis, Segmented univariate Analysis
3. Derived Metrics and Feature Engineering
Day - 14: Exploratory Data Analysis
2. Identify Outliers
3. Outliers Handling using Imputation Techniques
Day - 15: Inferential Statistics
2. Discrete and Continuous Probability Distributions
3. Central Limit Theorem – Introduction and Industrial applications
Day - 16: Hypothesis Testing
2. Concepts of Hypothesis Testing – p value method, critical value method
3. Types of Errors, T Distribution, other types of tests
4. Industry Demonstration and A/B Testing
Day - 17: Case Study
2. GDP EDA Analysis
Machine Learning - I
Day - 18: Introduction to Machine Learning
Day - 19: Simple Linear Regression
2. Assumptions of Linear Regression (LINE)
3. Cost Functions, Strength of Linear relationship – OLS, coefficient of correlation, coefficient of Determination
4. Intuition to Gradient Descent for optimizing cost function
5. Hypothesis Testing in Linear Regression
6. Building a Linear Model – Reading Data, Cleaning Data, Libraries available – Sklearn, Statsmodel.api
7. Model Building using Sklearn and Training and Test Data, Model Development, Model validation using Residual Analysis, Evaluation against the test Data
Day - 20: Multiple Linear Regression
2. Introduction to overfitting, Multi-collinearity
3. Dealing with Categorical variables – OHE, Dummies, Label Encoding
4. Building the model using statesmodel.api and importance of p-values
5. Model Evaluation Metrics – Coefficient of Determination, Adjusted R2, RMSE, AIC, BIC and other model evaluation Metrics
6. Variable Selection – RFE, Step wise selection etc.
7. Gradient Descent and Normal Equation for Multiple Linear Regression
8. Industry Demonstration: Linear Regression Case Study
Day - 21: Logistic Regression
2. Binary classification using univariate logistic regression
3. Maximum Likelihood function, Sigmoid Curve and Best Fit
4. Intuition of odds and log-odds
5. Feature selection using RFE
6. Model evaluation – Confusion Matrix and Accuracy
7. Why Accuracy is not Enough and introduction to sensitivity, specificity, precision, recall, area under curve
8. Logistic Regression Case Study
Day - 22: Unsupervised Learning:Clustering
1. Understanding clustering with practical examples
2. KMeans Clustering – understanding the algorithm
3. Practical consideration for KMeans Clustering – Elbow curve, silhouette metric and hopkings test for clustering tendency of data, impact of outliers
Day - 23: Unsupervised Learning
1. Hierarchical clustering Algorithm
2. Interpreting the dendogram and Types of Linkages
3. Comparison of Kmeans clustering and Hierarchical clustering – advantages and disadvantages
Day - 24: Unsupervised Learning:Principal Component Analysis(PCA)
2. Variance as information and basis transformation of vectors
3. Singular Value Decomposition and Identifying optimum principal components using scree plots
4. Model building with PCA
5. Advantages of PCA and Limitations
Machine Learning - II
Day - 25: Support Vector Machine Algorithm
1. Introduction to SVM and How does it works.
2. Advantages and Disadvantages of SVM
3. Kernal Functions in used in SVM
4. Applications of SVM
5. Implementation of SVM using Python
Day - 26: K Nearest Neighbors Algorithm
1. Introduction to KNN and How does it works.
2. Advantages and Disadvantages of KNN
3. Applications of KNN
4. Implementation of KNN using Python
Day - 27: Naive Bayes Algorithm
1. Intoduction to Naive Bayes
2. Advantage and Disadvantage of Naive Bayes
3. Applications of Naive Bayes
4. Implementation of Naive Bayes using Python
Day - 28: Tree Models
1. Introduction to decision trees and Interpretation
2. Homogeneity measures for splitting a node 1. Gini Index 2. Entropy 3. R2
3. Understanding Hyper parameters – Truncation and Pruning
4. Advantages and Disadvantages
Random Forest:
1. Introduction to ensembling, bagging and intuition
2. Random Forest – Introduction and Hyperparamters
3. Building a model using Random Forest
4. Hyper-parameters impact on model and tuning them
5. Importance of predictors using Random Forrest
Day - 29: Boosting
2. Introduction to Boosting Algorithms : XGBoost, lightGBM, Catboost
3. Advantages of Boosting Algorithms
4.XGBoost Model Building and importance of various Hyper parameters
5. Hyper-parameter tuning for XGBoost
Day - 30: Case Study
Day - 31: Case Study
Day - 32: Time Series
2. Trend and seasonality
3. Decomposition
4. moothing (moving average)
5. SES, Holt & Holt-Winter Model
Day - 33: Time Series
2. IADF, Random walk and Auto Arima
Day - 34: Text Mining
2. Text cleaning, regular expressions, Stemming, Lemmatization
3. Word cloud, Principal Component Analysis, Bigrams & Trigrams
4. Text classification, Document vectors, Text classification using Doc2vec
