Data science and Machine Learning Engineer with project on predictive modelling, classification, object detection, computer vision, Deep Learning, and Machine Learning. I have studied and implemented real time projects in Computer Vision and NLP areas, namely Sentiment Analysis and many more to learn and grow
Visit Resume ● I have completed my micro internship at Tata in the field of data visualization.
● improve my data cleaning and visualization skills
●It was a valuable experience. It allowed me to apply theoretical knowledge to real-world
data,
● My first data science intership
● worked on some famous datasets like iris classification
● prediction models
● credit card fraud
Data science and Machine Learning Engineer with demonstrated experience in working on predictive modelling, classification, object detection, computer vision, Deep Learning, and Machine Learning. I have studied and implemented real time projects in Computer Vision and NLP areas, namely Sentiment Analysis and many more to learn and grow
Read moreIt is an PowerBI based project. It summarixes the data of the sales company and provide the data in clean ansd interactive way.
It is a ML model which uses different python libraries such as Numpy, Pandas, Scikit-Learn, Matplotlib,etc. to predict wheater the patient has breast cancer or not. To implement all the codes I used Google colab and got the dataset from kaggle
I used different ML classifiers models to predict the accurate results. Also used ensembles models for better results.