Code4X
Marketing Analytics Project for Data Science : Regression Analysis for Market Mix Modelling (with full Code)
Featured🌟 Get ahead of the Competition in the Data Science and Data Analytics Career field. Learn how to perform a Market Mix Modelling using Data Science Regression techniques! 📊 💡 Marketing Analytics Project: Determining which Marketing Channels are giving your Business the largest bang for your Buck. 📈 [with full Code and Video Explainers] In this Project, you will perform detailed Exploratory Data Analysis and Preprocessing on Marketing Channel expense Data. You will learn to use multiple Regression Modelling techniques like Support vector Regressor, AdaBoostRegressor, XGBRegressor, RandomForestRegressor, DecisionTreeRegressor, GradientBoostingRegressor, KNeighborsRegressor, and MLPRegressor, etc. You will also learn to Optimise your Regression Models using powerful techniques like Grid Search Cross Validation before going finishing the project with Feature Importance Analysis and Feature Elasticity Analysis. This project will give you a head-start on your Marketing Analytics using Data Science Journey. 🚀
₹ 599.00₹ 249.00
LangChain + Vector DB + GPT 3.5 Turbo => Semantic Search Chat App (with full Code)
Featured🚀 Learn to build a Chat App that would Query and obtain responses using natural language In this course, you will learn how to build a cutting-edge Semantic Search Chat App using the latest technologies in natural language processing and vector databases. This project module takes you on a thrilling journey through the integration of the SQuAD 2.0 dataset, Pinecone vector database, LangChain framework, and OpenAI's GPT-3.5 Turbo language model. [with full Code and Video Explainers] By the end of this course, you will be able to: 💠 Build a LLM based App using LangChain and OpenAI GPT Chat API 💠 Understand the use of Vector Databases and use Pinecone Vector database for Semantic Search 💠 Create a LangChain Conversational Agent invoking a custom Tool with Conversational Memory Enroll today and learn how to build this cool LLM Chat App using LangChain Framework, Pinecone Vector DB and OpenAI GPT! 💼
₹ 799.00₹ 299.00
HR Analytics using Logistic Regression (with full Code)
Featured🌟 Get ahead of the Competition in the Data Science Job Market. Learn Logistic Regression through this Data Science - HR Analytics Projects! 📊 💡 HR Analytics Projects: Predicting Offer Drops Project uses a Classification Method, a powerful algorithm, Logistic Regression that is used widely in a huge number of use cases across Industries. 📈 [with full Code and Video Explainers] In this Project, you will perform detailed Exploratory Data Analysis on Candidate Offer and Joining Data using extensive a number of EDA and Visualisation Techniques. You will learn to use multiple Preprocessing techniques like StandardScaler, Variance Inflation Factor (VIF), Recursive Feature Elimination (RFE), etc. You will also learn to Optimise your Logistic Regression Model using powerful techniques like Optimum Threshold Calculation using F1-Score. This project will give you a head-start on your Data Science Journey. 🚀
₹ 599.00₹ 249.00
Travel App Project using LangChain + OpenAI GPT + Streamlit Community Cloud Deployment (with full Code)
Featured🚀 Learn to build a cool Travel Planner App using LangChain, OpenAI GPT API and Streamlit UI. In this course, you will learn how to use the LangChain framework and the OpenAI language model, GPT, to build a Travel Planner App that can give us a detailed Day-wise trip Itinerary for a given Destination, Trip Type and Number of Nights. You will also learn how to deploy this App into the Streamlit Community Cloud with one-click deployment from your Github Repo. [with full Code and Video Explainers] By the end of this course, you will be able to: 💠 Build a LLM based App using LangChain and OpenAI GPT 💠 Invoke the OpenAI GPT API and capture responses 💠 Build a Streamlit UI for your App 💠 One-click Deployment in Streamlit Community Cloud Enroll today and learn how to build a powerful LLM App using LangChain Framework and OpenAI GPT! 💼 Bonus: This course also includes a Streamlit UI demonstration and Streamlit Community Cloud Deployment. 🏆 #Travel App Project using LangChain for data science #Travel App Project using LangChain for beginning #Travel App Project using LangChain using machine learning #Travel App Project using LangChain Using GEN AI
₹ 799.00₹ 299.00
LangChain + OpenAI GPT: Document Summarisation Project
Featured🚀 Learn to build a powerful Text Summarization Tool using LangChain and OpenAI. In this course, you will learn how to use the LangChain framework and the OpenAI language model, GPT, to build a text summarization tool that can efficiently and accurately summarize large or complex texts. You will also learn how to use three distinct LangChain techniques of text summarization to read content from the various formats and sources and to use the summarization and information extraction capabilities of GPT by using the OpenAI API. [with full Code and Video Explainers] By the end of this course, you will be able to: 💠 Build a text summarization tool using LangChain and GPT 💠 Summarize content from PDF, DOCX, and web pages 💠 Use the various LangChain modules to read content from the various formats and sources 💠 Use the summarization and information extraction capabilities of GPT by using the OpenAI API Enroll today and learn how to build a powerful text summarization tool using LangChain and OpenAI! 💼 Bonus: This course also includes a Streamlit UI demonstration of the LangChain Text Summarization tool. 🏆 #langchain openai projects for students #langchain openai projects for complete projects #langchain openai projects for students #langchain openai projects using data science #langchain openai projects for ChatGPT
₹ 799.00₹ 299.00
Building a Movie Recommendation System with NLP and K-Means Clustering
Featured🎬🍿 In this Project, you will learn to develop a Recommender System for Movies using the advanced technique of K-Means Clustering! 🤖📽️ By analyzing user preferences and movie data, you'll predict which movies a user might enjoy, enhancing user experience 🌟. [with full Code and Video Explainers] Building a Movie Recommendation System with K-Means Clustering, 🚀 You will solve the Movie Recommendation problem by learning and implementing the K-Means clustering algorithm, a powerful unsupervised learning technique. Your goal is to group movies into clusters based on similarity, allowing you to make personalized recommendations. You will also learn to tweak your K-Means model by model evaluation and Optimisation using techniques like Elbow Method🍿🌟. #movie recommendation systems using data science projects #data science projects for begineers #movie recommendation systems projects for begineers #movie recommendation systems for students
₹ 499.00₹ 199.00