Summer Internship for CSE Students
- Summer Internship for CSE Students
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 Summer Internship for CSE Students
An internship’s entire purpose is to teach you everything you need to know about the career you want to explore. The internship coordinator at the institution assists the student in developing a solid relationship that will help the intern have a pleasant internship experience. The internship coordinator can also assist the student in developing effective work habits and managing expectations. Tru Projects offers Summer Internships for cse students every year in order to help as many students as possible. Our company’s Summer Internship programme for cse students will give you an inside look at how significant corporations in a range of industries work. You can choose from a variety of internship options with us. It’s seldom easy to find student internship opportunities for cse students, although you find everything at TruProjects.
During the summer, we have a broad range of internships accessible. The Summer Internship Program for cse Students will be incredibly advantageous if you are currently pursuing a bachelor’s degree in technology. You will be able to work and function from the comfort of your own home with our Online Summer Internship Institute for cse Students. Aside from that, by participating in our Online Summer Internship Program for cse students, you will gain a wealth of knowledge, have the opportunity to work with a variety of professionals, and interact with other students. This Student Summer Internship for cse students will almost certainly increase your existing skill level, permitting you to be a much more competent candidate.
When we talk regarding training, we’re referring about the process of developing both formative and reflective skills. You will learn not only the underlying concepts, but also the intricate and significant aspects, during the Summer Internship for cse Students. Learning new skills is necessary, as you are well aware, given the high degree of competition that exists in today’s B tech market. If you join TruProjects’ Summer Internship Training for cse Students, you will always be one step ahead of your classmates. For students, our institute also offers an amazing IT Summer Internship for cse students.
You will find yourself focusing on IT concepts, encouraging you to become a specialist in the industry, particularly if you are an IT student. Annually, we hold Summer Internship Openings for cse students, where we observe as bright minds use their creative abilities to better themselves. Most people spend their summer break doing fascinating stuff, but what if you could study in a fun way while only spending a few hours a day doing so? Would that not appear to be possible?
Yes, though! Our Online Summer Internship for cse Students is the way. By participating in our online Summer Internship with Certificate for cse Students, you may now develop new skills while still having fun during your summer break. Another popular internship is our Software Engineering Summer Internship for cse students. Students from a range of industries come to us asking if they may change careers and work in software engineering. We can tell you that it is completely feasible. Furthermore, our Software Development Internship for cse students will assist you in understanding just what you need to learn.
It is possible to say that by doing a Software Engineering Internship for cse students, you will be able to start working on small tasks as soon as you have an understanding and enhance your skills to go on to more complicated projects. If you’re looking for a company to work for as a Software Engineer Intern for cse Students or a Software Development Engineer Intern for cse Students, TruProjects is the place to go. Furthermore, because it allows you to work in such an environment while still a student, the Software Development Engineer Internship for cse students is likely to be of significant advantage to you in the future.
The Software Engineering Internship Program for cse students is unquestionably beneficial to students in a variety of ways, including the ability to connect with supervisors and contribute to our organisation. If you’re interested in software, we strongly encourage you to apply for our Software Engineer Summer Internship for cse students. Our Virtual Summer Internship for cse students is designed to allow our students to work as interns even when they are not in the centre physically available. To complete the given task, they do not need to be physically present. Students in their last year should grasp the significance of an internship by this point. If you’re seeking an Internship for final year cse students, give us a call right now. If you want to learn more before applying for jobs, you may always choose our Summer Final Year Internship for cse Students.
We take pride in providing Final Year Summer Internships for cse Students which are designed specifically for final-year applicants to technology companies. This is how large groups of pupils will be taught. Students should take advantage of any Student Internship Opportunities for cse Students that come their way, according to TruProjects. Internship programmes for cse students usually help students decide what they should learn and what they should omit. One of the most significant benefits of participating in our Internship Training Program for cse students is the ability to better plan for your career ambitions. And we’re always working to be the Best Internship Training Institute for cse Students and to offer as much aid as feasible. For students, Tru Projects also offers Internship Certificate Training for cse students. The certificate you receive will be quite useful when it comes time to construct a resume and cover letter for future job openings. It’s difficult to locate suitable internships for freshers for cse students, yet they’re all available at our firm. The most significant benefit is that it may be used as an online internship training programme for cse students. This option will allow you to utilise it for a range of additional internships, offering you the most flexibility. Another advantage of an online engineering internship is that you may keep up with your academics while learning and working for us. It’s normal for students to want the Best Long Internship Training for cse Students. We think that it is important because Long Term Internship Training for cse Students allows us to train our students more productively. With the help of the Long Term Internship Program for cse students, we can also identify the students’ needs and guide them in the long run. Many alumni and even current students are looking for professional internships for cse students. We assign them tasks and mentors depending on their desires, goals, and long-term goals. Many students look forward to any paid internship opportunities for engineering cse students.
Something identical can be seen at Tru Projects. Students will gain not just knowledge, but also confidence and self-belief as a result of the real-world summer internship for cse students. During the real-time summer internship programme for cse students, we ensure that the mentors provide a comfortable environment for the students. Our mentors make contact with each student, particularly during the Online Internships for cse Students, to guarantee that they comprehend all of the lectures. We provide a Full Time Summer Internship Program for cse students or a Full Time Paid Summer Internship for cse students. As mentioned, you have a multitude of options to pick from. The advantage of a Summer College Student Internship for cse students is that you will gain valuable experience that will help you design your future wisely.
Long-term internships for cse students are commonly available in a range of internships; please contact us for more information. As previously stated, the Summer Internship Training Course for cse Students will allow us to explore a variety of professional choices. You can also work in accordance with the Online Summer Internship Training for cse students option. One of our most popular positions is programming internships for cse students. Over the years, our Internship Program for graduate for cse students Students has shown to be quite valuable to students, as it aids in the advancement of coding skills.
We cover all of the essentials of programming from the beginning in our Internship Program For Freshers For cse Students. Another amazing internship for cse students is our Summer Analyst internship for cse students. This internship will offer you with the relevant data analytics training. Your curiosity will be sparked by our summer internship for undergraduate cse students. Participation in a number of activities will be included in the training, making it possible for you to discover your regions of expertise. The Summer research Internship for cse students gives you the opportunity to do detailed research on the subject of your choice.
Researchers are typically the ones who examine the pros and drawbacks and assist us in making any necessary changes. It is without a doubt one of Tru Projects’ most distinctive internships. If you intend to pursue research-oriented professions in the future, our Summer Research Internship Program for cse Students is an excellent option. You’ll be able to figure out which specialisation you’re interested in and obtain practical experience with our research internships for undergraduates for cse students. It’s quite difficult to find an Engineering Internship Program for cse students in India.
TruProjects, on the other hand, offers a wide range of opportunities, particularly with our Summer Technical Internship Program for cse students. Also, at the end of your stay with us, our Certification Internship Undergraduates for cse Students will provide you with a certificate. This qualification can help you increase your chances of securing a decent job. You will have the option of earning money while interning at the company if you participate in the Paid Certification Summer Internship for cse Students.
Students can also engage in paid programming. For students, Tru Projects also provides a summer internship programme for cse students. The Paid Summer Internship Program for cse students allows them to study more advanced programming while still earning money. The Internship Program for cse students, in our opinion, is better suited to students who are serious about learning to code. The intern programme for cse students will assist them in generating their own concepts because programming requires students to use their problem-solving abilities to their full extent.
There are numerous options available to you, including the Paid Summer Internship Program for cse Students and the Programming Intern Undergraduates for cse Students. Working as a Paid Programming Summer Intern for cse students might help you develop your logical reasoning and conceptual understanding. We strive to provide the best computer science internship for cse students, as well as other types of internships that help students from other departments and places, every day.
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
