Online Internships

🚀 Unlock Your Potential with Our Project Intern Program! 🚀

Are you ready to dive into the world of cutting-edge technology? Look no further! Our Project intern program offers hands-on training in Machine Learning (ML), Deep Learning (DL), and Data Science, providing you with invaluable experience across six dynamic projects.

What’s in it for you?

🔍 Dive deep into ML, DL, and Data Science with two internships in each domain.

🤝 Gain hands-on experience through real-world projects, boosting your skills and confidence.

💼 Open doors to lucrative career opportunities as a data scientist or full-stack developer with high-paying salaries.

🎓 Utilize the program for your final year projects, setting the stage for high-paying job offers straight out of college.

Python for Data Science Syllabus

Introduction to Python for Data Science

• Overview of Python and its importance in Data Science
• Setting up Python environment (Anaconda, Jupyter Notebook)
• Basic Python syntax and data types
• Introduction to NumPy for numerical computing

Data Manipulation with Pandas

• Introduction to Pandas library for data manipulation
• Series and DataFrame objects in Pandas
• Data cleaning and preprocessing techniques
• Working with missing data and handling duplicates

Data Visualization with Matplotlib and Seaborn

• Introduction to data visualization libraries: Matplotlib and Seaborn
• Basic plots: line plots, scatter plots, bar plots
• Advanced visualization techniques: histograms, box plots, heatmaps
• Customizing plots and adding annotations

Introduction to Statistical Analysis

• Descriptive statistics: mean, median, mode, variance, standard deviation
• Probability distributions: normal, binomial, Poisson
• Hypothesis testing: t-tests, chi-square tests, ANOVA

Machine Learning with Scikit-Learn

• Introduction to Scikit-Learn library for machine learning
• Supervised learning algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forests
• Model evaluation techniques: Cross-validation, ROC curves, Confusion matrix

Introduction to Natural Language Processing (NLP)

• Overview of NLP and its applications
• Text preprocessing techniques: tokenization, stemming, lemmatization
• Sentiment analysis with NLTK and TextBlob
• Introduction to spaCy for advanced NLP tasks

Introduction to Deep Learning with TensorFlow

• Overview of Deep Learning and neural networks
• Introduction to TensorFlow library for Deep Learning
• Building and training a simple neural network using TensorFlow
• Introduction to Keras for building Deep Learning models

Projects:

• Capstone project: Applying Python and Data Science skills to solve a real-world problem
• Data collection, preprocessing, modeling, and evaluation
• Presentation of project results and findings

Machine Learning (ML):

1. Project 1 (Ex: Predictive Analytics for E-commerce Sales)
2. Project 2 (Ex: Sentiment Analysis for Social Media Trends)

Deep Learning (DL):

1. Project 1 (Ex: Image Recognition for Autonomous Vehicles)
2. Project 2:(Ex: Natural Language Processing for Chatbots)

Data Science:

1. Project 1 (Ex: Customer Segmentation for Retail Industry)
2. Project 2 (Ex: Fraud Detection in Financial Transactions)

Program Duration & Cost:

• Duration: 2 month
• Cost: Rs.25,000

Don’t miss this chance to supercharge your career! Apply now and seize the opportunity to pave your path to success in the tech industry. Let’s transform your dreams into reality together! 💡

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Apply Now for Project Intern