Computer Vision engineer skilled in Python, SQL, NoSQL, and C++ @HaiderAli
Identified all protein cells present in a single blood cell image using Human Protein Atlas dataset from Kaggle which contains 10 classes of protein cells. Used F-score as an accuracy metric. Used Resnet18 as a backbone mo
Cleaned, analyzed, and predicted if a student will get placed after completing MBA or not. Found SSC percentage feature is highly correlated with Status (job) feature. ML results: Logistic - 84.7%, Random Forest - 84.7%.
This is a multiclass classification dataset containing builing, forest, glacier, mountain, sea, and street as classes. There are 14,000 images present in the dataset.
Generating Human Faces is a project which generates human faces based on a given dataset of human faces. Structure of the project: Generator (Transposed Convolution) :- The purpose of the Generator is to generate images closest to the real images in the dataset. Uses Tanh as activation function. Discriminator (Convolution):- The purpose of the Discriminator is to discriminate the images generated by the Generator using the real images in dataset. Uses Sigmoid as an activation function.
Thyroid disease is a medical condition that affects the function of the thyroid gland. The thyroid gland is located at the front of the neck and produces thyroid hormones that travel through the blood to help regulate many other organs, meaning that it is an endocrine organ. Detecting if a person has Thyroid given various features few amoung them are Goitre, Hypopituitary, TSH, T3, TT4, T4U, FTI, TBG measurements, etc.
Lung cancer is a type of cancer that begins in the lungs. Your lungs are two spongy organs in your chest that take in oxygen when you inhale and release carbon dioxide when you exhale. Lung cancer is the leading cause of cancer deaths worldwide. To find if a person has lung cancer given various features such as Age, Alcohol use, Obesity, Chest pain, etc.
ACME Insurance Inc. offers affordable health insurance to thousands of customer all over the United States. Taking into account a person's Age, Sex, BMI, Children, Smoker, Region predict what will be the insurance charges.