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Tanvi's Projects

marketing-plan icon marketing-plan

Prepared a demo marketing plan, for the assignment, Kalāmbi is a service that connects wholesalers and retailers like us to potential clients to rent clothes for a set period through online platforms. Our website provides a diverse selection of apparel sorted by size, colour, kind of outfit, brand, and price. Customers can also get advice from skilled designers, image consultants, and other fashion specialists through online rental service providers. Festive outfits for round the year festivals, such as weddings, wedding anniversaries, family events, corporate parties, theme parties, and photoshoots (prewedding, maternity, birthday, anniversaries) Gertrude Liamson Founder and President Martin Virgil Lukes

mnist-handwritten-digits icon mnist-handwritten-digits

The MNIST database of handwritten digits, has a training set of 60,000 examples, and a test set of 10,000 examples. The digits have been size-normalized and centered in a fixed-size image.

movielens icon movielens

Merging csv files from movie lens dataset and Comparison of movie ratings given by Ladies and Gentlemen

pes-python-assignment-set-2 icon pes-python-assignment-set-2

Python codes consisting Math and Random Modules, trigonometric function, math.io application ,strings, Dictionary and Date&Time

pes-python-assignment-set1 icon pes-python-assignment-set1

Python Codes covering basic concept of operators,command line argument, string operations,LIST, Tuple, numbers, assignment operators, functions and looping structure

skincancer icon skincancer

The small size and lack of diversity of the available dataset of dermatoscopic pictures make it difficult to train neural networks for automated identification of pigmented skin lesions. The HAM10000 ("Human Against Machine with 10000 training images") dataset addresses this issue. It consist of dermatoscopic images from various populations, which were captured and preserved using various modalities. There are 10015 dermatoscopic images in the final dataset, which can be used as a training set for academic machine learning. The cases include a diverse range of pigmented lesions, including actinic keratoses and intraepithelial carcinoma / Bowen's disease (akiec), basal cell carcinoma (bcc), benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses, bkl), dermatofibroma (df), melanoma (mel), melanocytic nevi (nv) and vascular lesions (angiomas, angiokeratomas, pyogenic granulomas and hemorrhage, vasc). The dataset includes lesions with multiple images, which can be tracked by the lesion_id-column within the HAM10000_metadata file. The International Skin Imaging Collaboration (ISIC), a multinational partnership that has created the world's biggest public archive of dermoscopic pictures of skin, held the world's largest skin image analysis challenge. In 2018, the challenge was held in Granada, Spain, at the Medical Image Computing and Computer Assisted Intervention conference. Over 12,500 photos were included in the dataset, which was divided into three jobs. 900 individuals signed up for data download, with 115 completing the lesion segmentation job, 25 the lesion attribute detection task, and 159 the illness classification task

topgear icon topgear

Projects done in TopGear are AI ML Basic Concept, Data Science with Python, SQL Case Study, Tableau Case Study.

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