Hire the best Linear Regression Freelancers in Bengaluru, IN

Check out Linear Regression Freelancers in Bengaluru, IN with the skills you need for your next job.
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  • $25 hourly
    I am analytics professional with over 8 years of experience in enabling data-driven decisions for multiple Fortune 500 Clients across domains like Automobile, Retail, Finance, Marketing, Merchandising, E-Commerce. I joined Upwork because I enjoy getting my hands dirty with data and wanted to explore different kinds of problems. I graduated from from one of the leading engineering colleges in India with a degree in Civil Engineering. Skills • Python, R, SQL, MS Excel, Power BI • Automation (PowerPoint, Excel, etc.) • Exploratory Data Analysis • Web analytics using Adobe Analytics (Omniture) • E-Commerce, Consumer Analytics, Market Basket Analysis
    vsuc_fltilesrefresh_TrophyIcon Linear Regression
    MySQL
    Database
    Microsoft Power BI
    VLOOKUP
    PDF
    Forecasting
    SQL
    Tableau
    NumPy
    Machine Learning
    R
    pandas
    Python
    Microsoft Excel
  • $37 hourly
    ✅ I Can Help: • Create sentimental analysis engine , including front-end systems for the same • Create chatbots using generative AI technologies and classical NLP. • Create end-to-end NLP solutions including front-end interfaces like website/app/dashboard/chatbot. • Create end-to-end Computer Vision Solutions including front-end interfaces like website/app/dashboard/chatbot. • Create Websites ( using wordpress/shopify/react ) with AI integrations like chatbots , recommendation systems , etc • Create Android and iOS Mobile Apps using Flutter with technologies like conversational AI assistant , QR detection, Object Detection , Augmented Reality and other deep tech stacks according to the scope of work. • Create Operations Research Systems like Production Schedule Optimisation Engine , Supply Chain optimisation , etc using Gurobi ,etc • Create recommendation engines for providing product recommendations based on past customer/segment behaviour data. ( Predictive Modelling ) • Create packaged and structured code and help develop a in-house auto-ml library with various other models , which can be used for selection of appropriate model based on the KPI performance required according to specific parameters ( geography/time ,etc ) . 🎖️ Services Provided: • End-to-end Model deployment • NLP application/model development • Computer Vision application/model development • Operation Research application/model development • Mobile App Development • Website/Ecommerce Development • AI integrations / R&D work • Product Development. 🔬 Tools Used: • 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬. • 𝐎𝐩𝐞𝐧𝐀𝐈 𝐆𝐏𝐓 𝐌𝐨𝐝𝐞𝐥𝐬. • 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬: CNNs, RNNs, LSTMs, Transformer architectures, Auto-Encoders, GANs (Generative Adversarial Networks) • 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: Linear/Logistic Regression, kNN, SVM, Decision Trees, Random Forest, Gradient Boosting, Naive Bayes, Ensemble Methods, XGBoost, and AdaBoost. • 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐇𝐚𝐬𝐡𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬: K-Means, DBSCAN, Hierarchical Clustering • 𝐃𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥𝐢𝐭𝐲 𝐑𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧: PCA, PCR. • 𝐒𝐢𝐦𝐢𝐥𝐚𝐫𝐢𝐭𝐲 𝐒𝐞𝐚𝐫𝐜𝐡 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Vector Embedding and Cosine Similarity • 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: AI for medical research and environmental solutions. • 𝐌𝐨𝐝𝐞𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: ML models benchmarking and optimization. • 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, SQL, Bash, Java, C++, C. • 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬/𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: TensorFlow, PyTorch, Scikit-learn, Pandas & Numpy, SciPy, Flask, MatplotLib, Plotly, Seaborn, NLTK, OpenCV, Gurobi, Scrapy. • 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐓𝐨𝐨𝐥𝐬: Git, AWS (Amazon S3, AWS Lambda, AWS EC2, and AWS Sagemaker) ,Azure (Databricks , DVC with Azure Blob Storage ) , Docker, Kubernetes, Jupyter Notebook, Jira, Notion. • 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: SQL Server, MySQL, PostgreSQL • Others: Flask, FastAPI, GPT-3, OpenAI
    vsuc_fltilesrefresh_TrophyIcon Linear Regression
    Version Control
    Unix Shell
    Amazon EC2
    Relational Database
    Microsoft SQL Server
    Time Series Forecasting
    Matplotlib
    Flask
    Time Series Analysis
    Decision Tree
    Natural Language Processing
    Java
    NumPy
    Python
    pandas
    Amazon SageMaker
  • $10 hourly
    Hello! I’m a statistician with seven years of experience, with a focus on epidemiology, nutrition, and air pollution. My professional expertise encompasses a wide range of statistical techniques including causal modeling, structural equation modeling (SEM), LASSO and Ridge regression, spline modeling, non-parametric methods, and functional data analysis. My approach is detail-oriented, ensuring that every analysis is methodologically sound and tailored to provide clear, actionable insights. I am committed to applying my analytical skills to help solve complex problems and deliver robust solutions that enhance decision-making and optimize project outcomes. I look forward to bringing my expertise to your team and contributing to your success.
    vsuc_fltilesrefresh_TrophyIcon Linear Regression
    Multivariate Statistics
    Statistics
    Logistic Regression
    Biostatistics
    Data Science
    Statistical Analysis
    IBM SPSS
    R
    ggplot2
  • $10 hourly
    Profile Summary - Self motivated, enthusiastic and a diligent professional having around 9 years of experience in analyzing different datasets in the domain of Life science, Healthcare and Edtech. - A quick learner and passionate about learning new things. - Proficient in using Excel, Python, SQL and Tableau for solving the problems associated with different datasets. - Basic knowledge of Big data, AWS, NoSQL and Power Bi. - Performed data cleaning, exploratory data analysis and data visualization (using Matplotlib & Seaborn) to explore the meaningful insights for the business. Projects • Analyzed end to end Credit data of more than 3,00,000 people for Credit Risk Analysis domain. Made recommendations to the business and built strategy on top of it. • Analyzed 8000 IMDB movies data using MySQL to draw meaningful insights that helped develop successful new projects for RSVP movies which would be appealing to the global audience. • Built a multiple linear regression model with around 80% accuracy for the prediction of demand for shared bikes. Model will be used by management to understand how exactly the demands vary with different features and how revenue can be enhanced after reduced demand due to Covid-19. • Built a logistic regression model with 78% accuracy after analyzing nearly 10,000 peoples data to target potential leads for the Online Education company i.e. the leads that are most likely to convert into paying customers. • Built a logistic regression model for a telecom company after analyzing data of 7000 customers to predict the churning of customers which will be used by the company to stay relevant in the market. • SQL lab case study wherein supply chain dataset was analyzed. • Built a dashboard on Tableau by analyzing the performance of players in the IPL dataset. • Built a dashboard on Tableau by analyzing the airBnB dataset. • Performed capstone project on marketing and retail analytics using python (for data cleaning) and tableau (for making dashboard). Made certain recommendations to grow the business of an ecommerce company.
    vsuc_fltilesrefresh_TrophyIcon Linear Regression
    NoSQL Database
    Healthcare
    Tableau
    MySQL Programming
    Logistic Regression
    Data Analysis
    Exploratory Data Analysis
    Matplotlib
    Data Visualization
    Data Cleaning
    Microsoft Excel
    MySQL
    pandas
    NumPy
  • $20 hourly
    Hey there! I’m your go-to for all things data! Data Scientist with Over a 8 years of Expertise ◉ Core Technologies & Tools : ✔ Programming & Scripting: Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow), SQL, PowerShell ✔ Data Visualization: Tableau, Matplotlib, Seaborn, Plotly ✔ Machine Learning & AI: Regression & Classification Models, Time Series Analysis, Forecasting, NLP, Generative AI ✔ A/B Testing & Experimentation: Design and Analysis of Experiments, Hypothesis Testing, Metrics Evaluation ✔ Deployment: Scalable APIs, Real-Time Model Deployment (Flask, FastAPI), MLflow I am a data enthusiast with 8 years of experience turning chaos into clarity (and numbers into magic). Whether it’s wrangling time-series data, predicting the future (yep, I do that!), or diving deep into machine learning algorithms like Random Forests, CNNs, and NLP, I’ve got you covered. Need someone who’s fluent in Python (PyTorch, Scikit-learn, Pandas, Numpy) and can whip up some killer data visualizations in Tableau, Matplotlib, or Seaborn? Look no further! I take complex data, make it understandable, and wrap it all up in a beautiful, easy-to-read bow. From forecasting trends to building models that work as hard as you do, I’m here to help you crack your data mysteries with a smile. Let’s turn your data into something truly awesome! I pride myself on being consistently responsive and professional in every project I take on. I'm a problem-solver and driven to deliver high-quality work within the deadline. I always encourage open communication and welcome constructive criticism.
    vsuc_fltilesrefresh_TrophyIcon Linear Regression
    Predictive Modeling
    Unsupervised Learning
    Plotly
    Microsoft Excel
    AI Data Analytics
    Natural Language Processing
    TensorFlow
    Matplotlib
    Supervised Learning
    Deep Learning
    Statistical Analysis
    Tableau
    SQL
    Python
  • $20 hourly
    Possess 4+ years of relevant experience working on data science projects in Analytics industry. Experience in handling email and in-product campaign management, Data Analysis, Predictive Modeling, Unsupervised ML- Cluster modeling techniques and Supervised ML- Multivariate Linear regression, Ridge, Lasso, Time Series (Arima), Random Forest (with hyper parameter tuning) Good grip on the technology stack used in the Analytics Industry and keen on exploring Artificial intelligence and data science business problems TOP 5 SKILLS- Python, SQL, MS Excel, Ab Testing, Machine Learning ACCOMPLISHMENTS- Recognized with 'Client Value Creation' award for the financial year'23 Achieved 'Lead with excellence, confidence, and humility' award twice consecutively in May'23 & July'23 Honoured with being the Accenture iAi Top Data Scientist- June'23
    vsuc_fltilesrefresh_TrophyIcon Linear Regression
    Git
    Demand Planning
    Forecasting
    Campaign Management
    Data Science
    PySpark
    Analytical Presentation
    Feature Engineering
    Machine Learning
    Random Forest
    Machine Learning Model
    Analytics
    Exploratory Data Analysis
    Data Analysis
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