Introduction to Big Data Processing with Apache Spark on Databricks - Notebook Included

• #ApacheSpark, #Databricks, #CloudDataEngineering, #ETL, #RealTimeAnalytics, #Flink, #MachineLearningPipelines, #BigData, #DataLakes, #DistributedSystems,

Level : Intermediate

Experience : 9 years and more

Led the design and implementation of large-scale data pipelines using Apache Spark and Kafka, processing over 10TB of data daily. Spearheaded migration of on-premise Hadoop clusters to AWS EMR, reducing costs by 25% and improving processing speed by 40%. Optimized Spark jobs for performance, reducin...

Building a Custom Chatbot - Voice and Custom Voice Training - Using OpenAI and Google Translation - WITH NOTEBOOKS !!

• #Python, #ChatbotDevelopment, #VoiceAI, #CustomVoice, #NLP, #SpeechToText, #TextToSpeech, #MachineLearning, #DeepLearning, #AI,

Level : Intermediate

Experience : 3 to 5 years

As an AI Researcher at the Waterloo AI Lab, I spent two years working on cutting-edge projects in computer vision and deep learning. My work primarily focused on developing novel algorithms for image and video analysis, improving object detection, and enhancing facial recognition accuracy. I collabo...

Generative AI bootcamp - Part 1

• #llms, #genai, #ai, #python, #machinelearning, #deeplearning,

Level : Advanced

Experience : 5 to 8 years

Project 1: AI-Driven Optimization of Oracle Cloud Infrastructure Objective: Enhance Oracle Cloud Infrastructure with AI to improve resource management and automation. Collaborated with stakeholders to identify and implement AI-driven optimization strategies. Developed AI solutions using LLMs an...

Create Custom AI Characters: Fine-tuning a Stable Diffusion Model, Using Dream Booth with Few Shot Learning - 1 hour with NOTEBOOKS

• #AI, #Python, #AIART, #DreamBooth, #AICharacterCreation, #MachineLearning, #StableDiffusion, #DeepLearning, #DataAugmentation,

Level : Advanced

Experience : 3 to 5 years

As an AI Researcher at the Waterloo AI Lab, I spent two years working on cutting-edge projects in computer vision and deep learning. My work primarily focused on developing novel algorithms for image and video analysis, improving object detection, and enhancing facial recognition accuracy. I collabo...

Natural Language Processing with one project ( sentiment analysis)

• #machinelearning, #python, #Datascience, #nlp,

Level : Beginners

Experience : 5 to 8 years

Clustering algorithm K-means explanation with real time examples

• #machinelearning, #python, #Datascience, #kmeans,

Level : Beginners

Experience : 5 to 8 years

Classification algorithm KNN explanation with real time examples

• #machinelearning, #python, #Datascience, #knn,

Level : Beginners

Experience : 5 to 8 years

Linear Regression Complete Explanation with one use case

• #machinelearning, #python, #Datascience, #linearregression,

Level : Beginners

Experience : 5 to 8 years

End to End Data Science Live and RealTime Projects with Machine Learning

• #NLPChatbot, #ConversationalAI, #CustomerService, #MachineLearning, #AWSLambda, #UserEngagement, #TextGeneration, #ContentCreation, #GPTModel, #AIWriting, #MarketingCopy, #BrandConsistency, #SentimentAnalysis, #SocialMediaMonitoring, #BrandManagement, #MachineLearning, #RealTimeAnalytics, #CustomerFeedback,

Level : Expert

Experience : 5 to 8 years

Natural Language Processing (NLP) Chatbot Development: Description: Design and develop a conversational AI chatbot that assists users with various inquiries using natural language processing techniques. Responsibilities: Implement NLP models to understand user queries and generate appropriate r...

End to End Data Engineering Live and RealTime Projects with Cloud AWS.

• #RealTimeDataProcessing, #AWSKinesis, #AWSLambda, #DynamoDB, #S3, #Optimization, #Scalability, #Ecommerce, #DataWarehouseMigration, #AWSRedshift, #ETL, #BIIntegration, #Optimization, #QueryTuning, #FinancialServices, #BigDataAnalytics, #AWSEMR, #ApacheSpark, #AWSGlue, #MachineLearning, #HealthcareAnalytics, #HIPAACompliance,

Level : Expert

Experience : 5 to 8 years

Real-Time Data Processing Pipeline Implementation: Description: Designed and implemented a real-time data processing pipeline using AWS Kinesis for a large e-commerce platform. Responsibilities: Architecting the pipeline to ingest, process, and analyze streaming data from various sources. Leve...

Machine Learning : a journey to be more expert in ML using Jupyter Notebook, Google Collab, Machine Learning Algorithms

• #ML, #MachineLearning, #supervisedlearning, #unsupervisedlearning, #Algorithms, #codes, #logics, #jupyternotebook, #semisupervised, #reinforcementlearning,

Level : Intermediate

Experience : Under 2 years

Email Spam Detection model Bank Management System Truck Tracking System...