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I will build ml, dl, ds visualizations for you using python

A
ashmalvayani
A
ashmalvayani
ashmalvayani
Alcune informazioni sono riportate in lingua inglese.
build ml, dl, ds visualizations for you using python
Schermo intero
build ml, dl, ds visualizations for you using python
Schermo intero
Schermo intero
build ml, dl, ds visualizations for you using pythonbuild ml, dl, ds visualizations for you using pythonbuild ml, dl, ds visualizations for you using python

Informazioni su questo servizio

Machine learning modelling using regression, classifiers, cross-validations, accuracy comparisons, trees, and vector machines to increase accuracy on your dataset.


I also work with Computer Vision, Digital Image Processing, Deep Learning, Natural Language Processing, Text-Prediction models, so feel free to contact those.



Essential Skills I have

Numpy, Pandas, Matplotlib, Seaborn, Plotly, Sweetviz, Scikit-learn, Pytorch, TensorFlow, Keras, Tableau


Data Pre-Processing/ Cleaning

a) Deal with Missing Data

b) Data imputation

c) Dealing with categorical data

d) Applying different encoding techniques for Classification

e) Reformatting columns into appropriate datatypes


Data Visualization

a) Graphs(Bar, Line, Distplots, etc.)

b) Heatmaps, Pairplots, Sweetviz for correlations

c) Histograms, Countplots, Catplots, Scatterplots


Machine Learning Models

  • Logistic Regression Classifier
  • Linear Regression
  • Multi-Linear Regression
  • K-nearest Neighbor (KNN)
  • XG Boost
  • Decision Tree Classifier
  • Random Forest Classifier
  • Lazy Predict (49 Models at once)
  • Ensemble Learning

  • Motore IA

    • tensorflow

  • Linguaggio di programmazione

    • Python
    • Java
    • keras
    • Tensorflow

Scopri di più su ashmalvayani

ashmalvayani

Transforming AI into real world impact with expertise in LLMs, and CV!

  • DaStati Uniti
  • Membro dalug 2019

  • Lingue

    Inglese
Hi, I am an AI specialist with deep expertise in large language models (LLMs), computer vision, and Gen. AI solutions. I excel in tasks like model pretraining, fine-tuning, optimization, and crafting efficient training pipelines. My skills include creating datasets, implementing retrieval-augmented generation (RAG), and integrating advanced techniques like parameter sharing and quantization for model efficiency. Proficient in Python, PyTorch, and TensorFlow, I also bring experience with synthetic data generation, video understanding, and deploying AI-driven solutions across domains.

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