Coincent.ai

Coincent offers opportunities for learning and practical experience in cybersecurity, it's crucial to approach such internships with caution. Thoroughly research the company, seek feedback from current or former interns, and carefully evaluate any financial commitments before proceeding. Being well-informed will help ensure that the internship aligns with your career goals and provides genuine value.

👩🏻💻In 2023, I built this project in which I created a computer program which learns, analyse, predict, and answer what is the name of the fashion item passed, like a T-shirt, Ankle Boot, or a Dress, but from the limited list of trained fashion item images. The images were taken from CIFAR-10 dataset (BGR Formatted). >The items which I used for training purpose were:- 🤍T-shirt/Top 🤍Trouser 🤍Pullover 🤍Dress 🤍Coat 🤍Sandal 🤍Shirt 🤍Sneaker 🤍Bag 🤍Ankle Boot I performed this project at Coincent.ai in their training program. Project view at GitHub : https://lnkd.in/dQmgMFrB ✨Felt proud after completing this one. ✨I look forward for more such experiences where I'll learn deeply about AI/ML. #latepost #AI #ML #completion

Unleashing AI Potential: My Coincent.AI Internship Journey 🌟 🔍 Introduction: As an ECE undergrad at JNTUH, I embarked on an exhilarating internship at Coincent.AI—an odyssey into the heart of artificial intelligence (AI). Buckle up as I share the behind-the-scenes story of my transformative adventure! 🤖 Project 1: Text Classification Mastery During my internship, I immersed myself in text classification. Armed with Python, I explored NLP libraries, fine-tuned hyperparameters, and battled overfitting. 👁️🗨️ Project 2: Vision Transformer Magic Enter the Vision Transformer (ViT)—a game-changer in computer vision. Using the ViT architecture, I crafted an image classifier. The “aha” moment? When our model correctly identified a bird 🎓 Beyond Code: Learning and Collaboration Internships aren’t just about projects; they’re knowledge accelerators. I attended AI seminars, debated ethics, and collaborated with brilliant minds. AI isn’t infallible; it inherits biases. Let’s mitigate them together. 🌐 The Bigger Picture: AI’s Impact AI shapes industries, economies, and societies. My vision? AI democratization. Whether it’s healthcare diagnostics, supply chain optimization, or art creation, AI is our ally. Let’s revolutionize tech! #AIInternship #MachineLearningJourney #TextClassification #VisionTransformer #EthicsInAI #AIRevolution #CoincentAI #TechEnthusiast

Coincent.ai_Data Science With Python Hey Connections✨ This is my second project of Coincent.ai | Data Science Domain 🚀AI-Powered Hate Speech Detection in Social Media🚀 I'm excited to share my recent project where I developed a machine learning model to detect hate speech on Twitter. Using a dataset of tweets, I implemented a text classification pipeline to identify and classify offensive language. Project Highlights: •Developed a machine learning model to detect hate speech on Twitter. •Implemented a text classification pipeline to identify and classify offensive language. •Utilized a dataset of tweets for training and evaluation. Steps Involved: • Loaded and examined the dataset for null values, data types, and descriptive statistics. • Mapped class labels to descriptive labels like "Hate Speech," "Offensive Language," and "No Offensive Language." • Cleaned the tweet text by removing URLs, punctuation, numbers, and stopwords. • Applied stemming to reduce words to their root forms. • Used CountVectorizer to convert text data into numerical format suitable for machine learning models. • Split the data into training and testing sets to evaluate model performance. • Trained a Decision Tree classifier on the training data. • Evaluated the model using accuracy score and confusion matrix. • Visualized the results with a heatmap. • Tested the model on a sample tweet to predict if it's hate speech. Key Takeaway: 🔑This project showcases the power of machine learning and natural language processing in addressing real-world problems. Demonstrated the capability to build, train, and evaluate a machine learning model for text classification. Highlighted the importance of data cleaning, feature extraction, and model evaluation in developing effective ML solutions.💡 Feel free to check out the detailed code and insights. Let's connect and discuss more about data science and machine learning projects! 🌟 #MachineLearning #DataScience #NLP #HateSpeechDetection #Python #TwitterData #TextClassification #AI #Coincentai

chat bot project from Coincent.ai in that you need to learn how to test and training data and how you can chat and find the data values #datascience #datanalytics #coincent Coincent.ai coincent Internship