Machine Learning near me in Bangalore, India

I have completed a three-year Ph.D. program in Computational Biology. Teaching has always been my passion, and alongside my studies, I have been providing personal tuition to students. I am proud to say that I have also contributed to the field through my publications. As an educator, I specialize in teaching Machine Learning, Python programming (both basic and advanced), and various other topics related to computational biology. I offer online sessions that last for one hour, ensuring that they are interactive and practical. I believe active engagement is crucial for effective learning, and I strive to create an environment where students can actively participate and ask questions. In my teaching methodology, I avoid relying solely on PowerPoint presentations. Instead, I prefer a more hands-on approach. I provide comprehensive notes and assignments to my students, allowing them to practice and apply the concepts they have learned. By doing so, I aim to enhance their understanding and help them develop their skills. I understand the importance of adapting to the individual needs of each student. Therefore, I tailor my teaching methods and pace to ensure students grasp the content effectively. I am patient and supportive, creating a comfortable space for my students to express their doubts and concerns. Through my teaching experience, I have witnessed the joy and satisfaction of seeing my students succeed. I take great pride in their accomplishments and strive to impact their educational journey positively.

I am a Data Scientist with 14 years of industry experience. I have been providing online classes on the complete Data Science spectrum from beginner to advanced. I have worked with reputed MNCs like Seagate, Western Digital, Ernest Young, AutomationAnywhere etc. I also own a startup - IdeaVantage. I have delivered ground breaking AI models in the field of - HealthCare, Medicine, Automation, Manufacturing, Creative Arts, Semiconductor etc. My key skills include - statistics and maths for data science, classical machine learning, deep learning (Computer Vision and Natural Language Processing), cloud, python, c/c++.

Motivated business and data scientist with 5 years of experience across fashion , gaming, entertain domains. Proven technical expertise and business acumen necessary to translate business requirements and objectives into scalable, highly resilient

. Result‐driven IT professional with 19 years of experience in Software Product Development, including 9 years in Data Science and AI. . Extensive expertise in Supervised and Unsupervised learning, including Deep Learning, Regression, Clustering, Classification, Time-series Analysis, Anomaly Detection, Text Mining, and NLP. . Proficient in building Generative AI applications focused on text generation and optimization for enterprise solutions. . Skilled in Retrieval-Augmented Generation (RAG) for real-time knowledge retrieval and intelligent responses. . Experienced in developing AI agents for task automation and conversational assistance using frameworks like LangChain and OpenAI APIs. . Hands-on experience with Intelligent Document Processing solutions, leveraging advanced technologies such as Tesseract, Google Vision, Azure Form Recognizer, and AWS Textract. . Expertise in data visualization tools/libraries such as Plotly Dash, Matplotlib, Seaborn, Tableau, and D3. . Proven ability to deliver end-to-end Data & Analytics solutions and Enterprise AI systems across diverse industries.

9 Years of experience Thought 100+ students and successfully placed 20+ students till now

I teach Data Science in a clear and practical way, focusing on real-world understanding. I help students learn step by step, starting from the basics and progressing to advanced concepts. Python: I teach Python for data analysis, covering data cleaning, analysis, and visualization using real datasets. Machine Learning: I explain ML concepts in an easy way and show how to build models for prediction and classification using hands-on examples. Artificial Intelligence: I introduce AI concepts with practical use cases, helping students understand how AI is used in real applications. My teaching is hands-on, structured, and beginner-friendly, making complex topics easy to understand and apply.

I conduct Full-Stack Data Science training with Python. The first key learning areas are Statistics, Databases, Data Analytics, Data cleaning and preprocessing, Exploratory data analysis (EDA) etc. It is then followed with Machine Learning Algorithms, Deep Learning and Machine Learning Model Deployment (MLOps). The data science course is completely hands-on with 11 projects and 1 capstone project.

Why choose us? ? Indepth and practical learning ? Best in industry and full-time trainers ? Online practice portal and self-evaluation ? Projects to match industry demands ? Certification and placement support ? Convenience of classroom, online or virtual learning Data Science Syllabus 1. Data Science Overview • Introduction to Data Science • Different Sectors Using Data Science • Purpose and Components of Python • Key Takeaways 2. Data Analytics Overview • Data Analytics Process • Knowledge Check • Exploratory Data Analysis(EDA) • EDA-Quantitative Technique • EDA Graphical Technique • Data Analytics Conclusion or Predictions • Data Analytics Communication • Data Types for Plotting • Data Types and Plotting 3. Statistical Analysis and Business Applications • Introduction to Statistics • Statistical and Non-statistical Analysis • Major Categories of Statistics • Statistical Analysis Considerations • Population and Sample • Statistical Analysis Process • Data Distribution • Dispersion • Knowledge Check • Histogram • Knowledge Check • Testing • Knowledge Check (MCQ’S) • Correlation and Inferential Statistics 4. Mathematical Computing with Python (Numpy) • Introduction to Numpy • Activity- Sequence it Right • Demo 01-Creating and Printing an ndarray • Knowledge Check • Class and Attributes of ndarray • Basic Operations • Activity-Slice It! • Copy and Views • Mathematical Functions of Numpy • Code based Assignment as Homework. 5. Scientific Computing with Python (Scipy) • Introduction to SciPy • SciPy Sub Package - Integration and Optimization • Knowledge Check • SciPy sub package • Demo - Calculate Eigen values and Eigenvector • Knowledge Check • SciPy Sub Package - Statistics, Weave and IO 6. Data Manipulation with Pandas • Introduction to Pandas • Knowledge Check • Understanding DataFrame • View and Select Data Demo • Missing Values • Data Operations • Knowledge Check • File Read and Write Support • Activity- Sequence it Right • Pandas Sql Operation 7. Machine Learning with Scikit–Learn • Machine Learning Approach • How it Works • Supervised Learning Model Considerations • Knowledge Check • Scikit-Learn • Knowledge Check • Supervised Learning Models • Unsupervised Learning Models • Pipeline • Model Persistence and Evaluation • Knowledge Check 8. Data Visualization in Python using Matplotlib • Introduction to Data Visualization • Knowledge Check • Line Properties • (x,y) Plot and Subplots • Knowledge Check • Types of Plots • Knowledge Check (MCQ’S) 9. Web Scraping • Understanding and Searching the Tree • Navigating options • Demo Navigating a Tree • Knowledge Check • Modifying the Tree • Parsing and Printing the Document • Choose a project 10. Python Integration with Big Data Science • Why Big Data Solutions are Provided for Python • Hadoop: Core Components • Python Integration with HDFS • Demo 1 - Using Hadoop Streaming for Calculating Word Count 11. Course Recap and Two Industry based Projects • Summarize the entire course concepts • Concepts to be re-visited based on learner feedback • Recap of the entire session • Finish the test to get certified

I'm currently employed as a Data Engineer in SocieteGenerale, Bangalore.I mainly work on multi GB's of data per day basis,Having experience in real time on machine learning algorithms like Random Forests,Decision Trees, SVM etc.

I am a working professional at Data Science and IoT based company. I am taking online classes and writing books on Data Science which I will be publishing in 2021. I have completed my MTech master degree in Data Science and IoT Domain by getting good academic success at PES University. My keys skills are Python, Machine Learning, Deep Learning, Data Science and IoT.

I am a Data Science Trainer plus Senior Data science Consultant working at MNC . Trained across 1200 Professionals till date across India and US. Placed majority of them and gave training for different levels of Experienced professionals .

i have done mechanical engineering then i have completed data analysis with machine learning course which includes the skills like python,r language,advance excel,visualisation tool like power bi,seaborn and data analysis tool like pandas,machine learning,statistics etc.i have also worked as data scientist in orangus india for 2year.i can teach students from class 10th to 12th,as well as data analysis,data science,data engineer, programming.i have 5years of experience in teaching

More than 6 years of experience in the industry in AWS , GCP, Coud, Data Science, and Machine Learning. Technology for me is more than a profession but a passion. I have trained more than 150+ students in the fields of Data Science, AWS, GCP and tableau. Mostly my training is highly job oriented and designed carefully considering the rapid changes in the industry. My aim to help my students break into the pioneering technologies in top of the class companies.

I am a dynamic professional with demonstrated skills in delivering advanced analytics solutions to the Retail Industry. I am currently working as a Senior Analyst, Merchandising Planning and Analytics at Giant Eagle, Inc. and providing solutions to various retail use cases like Customer Segmentation, Sales Forecasting, Sales Driver Analysis, and Competitor Analysis. Before that, I worked in the Consumer Packaged Goods, Retail and Logistics (CRL) vertical of the Analytics Technologies Practice Unit of Infosys Ltd. and delivered end-to-end Advanced Analytics Solutions for several Fortune 500 European Retailers and CPG companies. Some of the successfully deployed projects include: • Sales Forecasting • Recommending Outlet Activities • Trade Area Analysis • Customer Profiling • Promotional Effects Analysis • Social Media Engagement Analysis • Analytics Automation Web App Development I am proficient in Python, PySpark, R, SQL, and Tableau. I have completed my Bachelor's in Computer Science and Engineering from the West Bengal University of Technology. As my teaching experience goes, I have been mentoring and reviewing projects of the students of Udacity, Inc as an independent contractor for their Data Analyst Nanodgree (DAND) course for almost four years now. I am also a Chegg Computer Science Subject Matter Expert. If you are interested in any courses, project-specific enquires, custom learning requirements, feel free to reach out.

I am experienced technical trainer with over 11 years of experience in IT Training and development conducting sessions , workshops , seminar on technical tools on data analytics , data science , programming language

Basics of ML and Detail in Construction on Architecture of Neural Networks, ANN,CNN, RNN, tensor flow libraries, Pytorch Libraries. NLP. 40 % of theory( its essential to understand Concepts ), 60% Hands on projects.

I am a data science training, having more than 3 years of experience in analytics. I have trained more than 100 students on data science and helped to start their career in analytics. I teach both online and classroom. I welcome and join with us to start your career in Data Science

I am an experienced, qualified trainer with 2 years of Industry experience and 4 years of experience in teaching Python,Data Science,Embedded,IoT and Providing Training to do their Final year project. So far I am working in Some institute as a part time trainer and providing training to Corporate people's.

Pradeep Mavuluri, a PhD in Quantitative Finance from Hyderabad Central University and having 18+ years of experience in data science / machine learning development / deployment and teaching almost 500+ fresher campus hires at my previous organizations. Earlier worked as Lead Faculty, Manipal Academy of Data Science and recently classroom sessions on data science training at a few institutions such as GL-PES and REVA RACE programs. I am looking for full-time/part-time engagements in AI/ML/DS space where I can bring my 18+ years of industry experience to the classroom.

I'm an Embedded System Engineer. Experience: 10 yrs Company Worked In: Intel, Qualcomm Training Type: Job Oriented/For Corporate Sector Training on: Advance Embedded System / Advance Embedded Linux Embedded PROJECTS: ANYTHING YOU WANT TO BUILD YOU CAN. Key Skills: Embedded System, Embedded Linux, Advance C, Embedded C.

With a fervent passion for the intersection of Python, data, and machine learning, I embarked on my journey five years ago after completing my Bachelor's in Computer Science. Armed with a Python certification, I delved into the realm of data-driven insights, immersing myself in the intricacies of Python, SQL, and PySpark. My professional trajectory has been characterized by a steadfast commitment to continuous learning and practical application. Over the past five years, I've honed my skills in Python and its various libraries, leveraging its versatility to tackle a myriad of data challenges. From data manipulation to visualization, Python has been my trusted companion, empowering me to extract actionable insights from complex datasets. In tandem with my Python proficiency, I've delved into the realm of data manipulation and analysis using SQL. Mastering the art of querying databases, I've adeptly navigated through vast troves of data, extracting meaningful patterns and trends to inform decision-making processes. Furthermore, my journey has led me to explore the realm of distributed computing with PySpark. Harnessing the power of parallel processing, I've unlocked new possibilities in data processing and analysis, seamlessly handling large-scale datasets with efficiency and precision. Throughout my professional tenure, I've embraced a dual role, balancing my career with part-time endeavors in software development. This unique blend of academic prowess and real-world experience has enriched my understanding of Python and its applications, fueling my passion for innovation and problem-solving. When it comes to education, I firmly believe in the value of practical, hands-on learning experiences. Hence, I've actively sought out opportunities to engage in practical sessions, applying theoretical concepts to real-world scenarios. This hands-on approach has not only solidified my understanding of Python and machine learning but has also equipped me with the confidence to tackle complex challenges head-on. Driven by a thirst for knowledge, I've pursued online courses to further augment my skill set. From Python fundamentals to advanced machine learning techniques, I've dedicated countless hours to expanding my expertise, investing in courses ranging from one-hour tutorials to comprehensive seven-week programs. Central to my learning journey has been the integration of live sessions, facilitating dynamic interactions and real-time feedback. Whether collaborating with peers or engaging with instructors, these live sessions have fostered a vibrant learning community, enabling me to glean insights and perspectives from diverse sources. As I look towards the future, I am excited to continue my exploration of Python, data, and machine learning. Armed with five years of experience, a robust skill set, and an insatiable appetite for innovation, I am poised to tackle the challenges and opportunities that lie ahead in this dynamic field.

With over 17 years of rich experience in the service industry, I have honed my expertise in Advanced Analytics, Data Science, Artificial Intelligence, and Machine Learning. Throughout my career, I have had the privilege of facilitating numerous corporate trainings, sharing my knowledge on AIML topics with professionals eager to enhance their skills. My passion for teaching and coaching now drives me to focus on freshers, guiding them through the intricacies of AIML and data science. I am proficient in imparting knowledge across a broad spectrum of subjects, including mathematics, statistics, Python programming, and machine learning, ensuring that students build a solid foundation in data science. My aim is to help develop their skills and prepare them for the challenges of the industry. Learning about UrbanPro from my colleagues has further fueled my excitement, and I eagerly look forward to exploring this platform, contributing to its growth, and building a strong, supportive community for aspiring data scientists and AI professionals.

I have taught as a freelance trainer in Bangalore in a San Francisco based training company - Analytics Training Institute. I have taught over 500 students and working professionals. Students have fallen in the age group of 18 - 50 years so i have the ability to connect with almost all kinds of situations.