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conestoga-design-ltd.-executive-dashboard

As a business analyst, Proposed the CDL-Executive Dashboard project plan to create a dashboard with the preeminent visualize metrics for the organization to help Billy Bob(CEO) and other executives to understand the organization's current scenario better and obvious way to increase CDL's overall growth.

conestoga-design-ltd.-website

The FPOC / website design project foresees the launch of a fully integrated portal to gain an online presence through the internet and social media. By taking the user experience to the next level, CDL executives will discover most of the benefits of this new business strategy.

data-science

Feature Engineering concepts by Krish Naik

drug-prediction

It is a classification problem to identify which drug is best suitable according to different attributes of patients.I Developed this using Decision Tree with 98% accuracy score.

face-eye-detection

Simple face detection using HAAR Cascade Classifiers

featurelearningrotnet

firstscreen-inc-long-term-care-facilities

Proposed the proper documented business solution to FirstScreen Inc. who is planning to implement the non-touch automated employee wellness screening system to the long-term care facilities to overcome the risk of business disruption due to the current pandemic COVID-19.

machine-learning-based-supply-chain-demand-forecast-for-a-global-pharmacy-company

The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forecasting. The demand forecasting is required at a quarterly level. Carry-Over products are those products which have historical data present and New products do not have any historical data present.

movie-reccomendation-system-content-filtering-

opencv-face-recognition-python

Face Recognition using OpenCV and Python.

stock-price-prediction

This is simplest stock market share price predictions using different models.

task1-prediction-using-supervised-ml

tinycots_project

TinyCo is a retail company that sells various SKUs across five different stores. I take on a role of a data analyst hired in the Supply Chain Department to make sense of the data the stores generate, extract valuable insights and ultimately predict demand for the stores' sales. The ultiate goal of the exercise is to produce a Demand Forecast that can be used to inform the Supply Chain department when procuring items in the following year.

usedcar_price_prediction

The complete implementation of car price prediction and data visualization by using various machine learning libraries such as NumPy, pandas, seaborn, matplotlib and Sklearn.