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I will precision farming with ai predictive analytics in python using machine learning
Paquistão
Sobre este Serviço
Data science, machine learning & Deep learning: Turning Data into 99% Accurate Predictions.
Embark on transformative data analysis and visuals with an experienced Data Science and AI Specialist
Skilled in Python, Pandas, Numpy, matplotlib, Plotly, NLP, seaborn & machine learning classification and regression analysis( logistic, random forest etc).,
Data Analysis
Data analysis & visualization techniques for data pre-processing & cleaning. Expert use of Python, Pandas, and Numpy for robust data manipulation. Work with text data to extract meaningful information
Data Visualisations
Transform your raw data into visually appealing & insightful graphics. Expertise in Matplotlib, Seaborn, and plotly (scatterplot, bar, hist, line plot, kde plot, Geographical plots{choropleth maps)
Machine Learning and Deep learning
Expertise in Supervised and Unsupervised Machine learning and Neural networks. Proficiency in classification, logistic regression analysis, random forest, support vector machine, naive Bayes, decision tree, K-Nearest Neighbors and predictive modelling.
computer vision using tensorflow, pytorch, python, Haar cascades, YOLO, SSD
Power BI
Tecnologia:
Apache Hadoop
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Excel
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Python
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R
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SPSS
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SQL
Perguntas frequentes
Q: What types of datasets do you analyze?
A: We handle a diverse range of datasets, from business metrics to customer behavior and beyond. If it's data, we can analyze it!
Q: How long does it take to receive insights?
A: Turnaround time depends on the package you choose. Basic packages are typically quicker, while premium packages with advanced analyses may take a bit longer. Consider our express delivery add-on for faster results.
Q: What sets Data Alchemy apart from other data analysis services?
A: Our unique blend of technical expertise, personalized solutions, and a client-centric approach distinguish us. We don't just analyze data; we transform it into actionable insights that drive success.

