500-ai-machinelearning-deep-learning-computer-vision-nlp-projects-with-code

bing-gpt-voice-assistant

capstone-project-eda-on-telecom-chrun

Telecom_Churn_Analysis Customer churn refers to when a customer (player, subscriber, user, etc.) ceases his or her relationship with a company. Businesses typically treat a customer as churned once a particular amount of time has elapsed since the customer’s last interaction with the site or service. The full cost of customer churn includes both lost revenue and the marketing costs involved with replacing those customers with new ones. Reduction customer churn is important because cost of acquiring a new customer is higher than retaining an existing one. Reducing customer churn is a key business goal of every business. This case is related to telecom industry where particular organizations want to know that for given certain parameters whether a person will churn or not.. Introduction: In the telecommunication industry, the main profit comes from the service provided to customers with their plans and features.

capstone-project-supervised_machinelearning-on-appliance-energy-prediction

Today's word usage of energy is increasing rapidly. Due to more usage of energy in some parts of the world, we are facing a lack of energy and it leads to environmental pollution. In some of the places, we are facing outrageous energy consumption in home appliances, so our main goal in this project is to analyse what the factors are affecting the increasing energy consumption of home appliances, how we can reduce the energy consumption of home appliances, and predict energy consumption of appliances by using regression models.

capstone-project-supervised_machinelearning_classification_on_health-insurance-cross-sell-prediction

Our client is an Insurance company that has provided Health Insurance to its customers now they need your help in building a model to predict whether the policyholders (customers) from past year will also be interested in Vehicle Insurance provided by the company. An insurance policy is an arrangement by which a company undertakes to provide a guarantee of compensation for specified loss, damage, illness, or death in return for the payment of a specified premium. A premium is a sum of money that the customer needs to pay regularly to an insurance company for this guarantee. For example, you may pay a premium of Rs. 5000 each year for a health insurance cover of Rs. 200,000/- so that if, God forbid, you fall ill and need to be hospitalised in that year, the insurance provider company will bear the cost of hospitalisation etc. for upto Rs. 200,000. Now if you are wondering how can company bear such high hospitalisation cost when it charges a premium of only Rs. 5000/-, that is where the concept of probabilities comes in picture. For example, like you, there may be 100 customers who would be paying a premium of Rs. 5000 every year, but only a few of them (say 2-3) would get hospitalised that year and not everyone. This way everyone shares the risk of everyone else. Just like medical insurance, there is vehicle insurance where every year customer needs to pay a premium of certain amount to insurance provider company so that in case of unfortunate accident by the vehicle, the insurance provider company will provide a compensation (called ‘sum assured’) to the customer. Building a model to predict whether a customer would be interested in Vehicle Insurance is extremely helpful for the company because it can then accordingly plan its communication strategy to reach out to those customers and optimise its business model and revenue. Now, in order to predict, whether the customer would be interested in Vehicle insurance, you have information about demographics (gender, age, region code type), Vehicles (Vehicle Age, Damage), Policy (Premium, sourcing channel) etc.

capstone-project-unsupervised_machinelearning_book-recommendation

chat_with_any_document_with_llm

🧠 Dump all your files and chat with it using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠

data-extraction-and-text-analysis

The objective of this assignment is to extract textual data articles from the URL and perform text analysis to compute variables.

detecting-and-fixing-data-drift-in-computer-vision

dialogflow-telegram-chatbot

digitrecognition_randomforest

Digit Recognition using RANDOMFOREST algorithum

dockers

document_scanner

dsa_python_notes

dtale

emotion-detection-from-text-python

Emotion Detection from Text

emotion-recognition-using-speech

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

etl_pipeline_with_airflow

excel_projects

facebook_mms_tts

fare_amount_prediction

fine_tune_llama2

fine_tune_llm_with_lamini

finetune-gemma

function-calling-mistral-7b

gpt_researcher_with_llama_cpp

hand-written-classfiaction-no-code-gui-idea

handwritten-digit-recognition

hugging-face-infernce-api-with-mistral

image-similarity-