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  • Palkkaa ZeeshanShah22
    3.6
    2 arvostelua $20 dollaria / tunti
    I am a statistical analyst, with strong background of Pure Statistics including a strong grip on statistical software including SPSS, Excel, Minitab, STATA, SAS, Mathematica, Statistica and Eviews. Brilliant skills in Multivariate Analysis, Factor Analysis, Discriminant Analysis, Logistic and Multiple Logistic...
    I am a statistical analyst, with strong background of Pure Statistics including a strong grip on statistical software including SPSS, Excel, Minitab, STATA, SAS, Mathematica, Statistica and Eviews. Brilliant skills in Multivariate Analysis, Factor Analysis, Discriminant Analysis, Logistic and Multiple Logistic Regression, Panel; Cross Sectional & Time Series Analysis, Fixed & Random Effect Models, ANOVA, MANOVA, ANCOVA, Principal Component Analysis, Simple & Multiple Linear Regression, Non-Linear Models, Generalized Linear Models, Control Charts, Hypothesis Testing, Poisson Regression, Binary Data Analysis, Z-test, T-test, Chi-Square Test, F-test, Parametric Methods, Non Parametric Methods, Best Model Selection, Problems related to Inference, Estimation, Probability, Sampling, Calculus, Economics, Mathematics and vice versa. In-spite of data analysis task, I deliver high quality content on time at an affordable price. My work is done efficiently and effectively, & I meet clients' needs vähemmän
  • Palkkaa aki003iitr
    2.3
    1 arvostelu $2 dollaria / tunti
    I am a data scientist with a degree in engineering . I have more than 4 years of professional experience in creating complex predictive and analytical models using advanced machine learning techniques Skill set: - Proficient in R, Python, SQL,Matlab ,VBA , R-shiny,Tableau - Statistical techniques: Predictive Modeling...
    I am a data scientist with a degree in engineering . I have more than 4 years of professional experience in creating complex predictive and analytical models using advanced machine learning techniques Skill set: - Proficient in R, Python, SQL,Matlab ,VBA , R-shiny,Tableau - Statistical techniques: Predictive Modeling techniques such Linear, Logistic Regression,Time Series,Decision trees, Random Forest, GBM, KNN, SVM,Naive Bayes,Neural Networks, Natural Language Processing, Image processing, Recommender Systems, - Web Scraping. Libraries in python known :Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup, vähemmän

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